|  es |  97.15 |  96.06 |  99.25 |  55.32 |  52.56 |  52.56 |  96.81 |  96.1 |  92.67 |  99.67 |  99.75 |  99.67
|  hi |  57.0 |  54.32 |  55.32 |  98.99 |  52.64 |  52.64 |  99.92 |  99.94 |  99.98 |  99.14 |  99.98 |  99.96
|  gu |  53.31 |  52.64 |  52.98 |  54.82 |  99.16 |  52.72 |  100.0 |  100.0 |  100.0 |  99.98 |  99.81 |  100.0
|  bn |  52.72 |  52.64 |  52.89 |  53.48 |  52.64 |  98.66 |  99.89 |  99.94 |  99.89 |  99.85 |  99.96 |  99.6
ML |  en |  98.91 |  97.4 |  98.32 |  60.35 |  54.15 |  54.32 |  92.39 |  95.35 |  95.01 |  98.91 |  98.83 |  98.81
|  fr |  98.07 |  99.41 |  98.58 |  57.17 |  52.89 |  53.31 |  96.65 |  94.28 |  95.73 |  99.58 |  99.43 |  99.56
|  es |  98.99 |  99.33 |  99.83 |  58.26 |  53.06 |  53.48 |  97.21 |  96.48 |  94.22 |  99.83 |  99.89 |  99.89
|  hi |  76.78 |  74.27 |  78.46 |  99.41 |  64.46 |  68.06 |  99.41 |  99.6 |  99.29 |  96.42 |  99.89 |  99.64
|  gu |  63.12 |  62.45 |  63.29 |  75.86 |  99.75 |  67.31 |  99.83 |  99.85 |  99.75 |  99.73 |  99.02 |  99.71
|  bn |  64.8 |  62.78 |  64.88 |  77.45 |  62.7 |  99.83 |  99.56 |  99.58 |  99.39 |  99.06 |  99.87 |  97.97
LL |  en |  99.25 |  97.07 |  97.23 |  53.23 |  52.22 |  52.56 |  67.29 |  83.66 |  81.81 |  99.85 |  100.0 |  99.94
|  fr |  96.56 |  99.67 |  96.73 |  53.06 |  52.22 |  52.39 |  82.61 |  76.61 |  86.27 |  99.89 |  99.89 |  99.89
|  es |  96.4 |  95.73 |  99.08 |  52.81 |  52.05 |  52.14 |  82.42 |  89.21 |  80.81 |  99.92 |  100.0 |  99.94
|  hi |  63.62 |  60.02 |  58.51 |  95.05 |  52.3 |  53.65 |  99.45 |  99.75 |  99.69 |  98.22 |  100.0 |  99.89
|  gu |  54.32 |  53.48 |  53.56 |  54.9 |  90.03 |  52.81 |  99.96 |  99.98 |  99.92 |  99.96 |  99.81 |  100.0
|  bn |  54.82 |  53.65 |  53.56 |  53.73 |  52.05 |  95.05 |  99.83 |  99.96 |  99.92 |  99.94 |  100.0 |  98.34
RL |  en |  98.49 |  98.49 |  98.49 |  98.49 |  55.24 |  98.49 |  84.58 |  87.32 |  86.84 |  99.02 |  99.37 |  99.39
|  fr |  98.16 |  58.51 |  58.51 |  58.51 |  58.51 |  58.51 |  92.54 |  87.97 |  89.94 |  99.77 |  99.94 |  99.83
|  es |  55.24 |  98.16 |  98.16 |  55.24 |  98.16 |  98.16 |  90.78 |  88.77 |  85.9 |  99.69 |  99.89 |  99.83
|  hi |  55.24 |  55.24 |  55.24 |  55.24 |  55.24 |  55.24 |  99.33 |  99.43 |  99.33 |  98.49 |  99.73 |  99.6
|  gu |  58.51 |  53.98 |  58.51 |  58.51 |  99.5 |  55.41 |  99.94 |  99.89 |  99.92 |  100.0 |  99.64 |  99.96
|  bn |  58.51 |  58.51 |  58.51 |  58.51 |  58.51 |  58.51 |  99.98 |  99.94 |  99.94 |  99.83 |  99.98 |  98.83

Table 31:  The table represents the $G_{S}$ and $S_{S}$ using MEND over fine-
tuned XLM-RoBERTa on the fever ‘inverse’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  76.36 |  75.19 |  77.45 |  67.31 |  44.34 |  54.32 |  93.23 |  92.44 |  90.84 |  83.63 |  84.81 |  79.13
|  fr |  75.52 |  79.04 |  77.79 |  65.72 |  47.19 |  54.9 |  92.35 |  91.34 |  90.19 |  84.39 |  84.09 |  79.09
|  es |  73.43 |  75.61 |  78.88 |  65.13 |  48.03 |  55.07 |  92.83 |  91.32 |  90.03 |  84.22 |  84.35 |  79.09
|  hi |  68.23 |  67.73 |  70.33 |  75.11 |  48.62 |  55.07 |  93.25 |  92.44 |  90.67 |  83.86 |  84.35 |  79.23
|  gu |  66.97 |  68.4 |  70.33 |  67.22 |  54.06 |  54.57 |  93.42 |  92.5 |  90.67 |  84.26 |  83.03 |  79.15
|  bn |  64.8 |  65.55 |  67.81 |  67.14 |  42.83 |  55.41 |  94.13 |  93.4 |  91.58 |  84.09 |  85.35 |  79.38
ML |  en |  88.18 |  84.83 |  82.9 |  66.47 |  47.36 |  74.43 |  96.67 |  96.56 |  96.75 |  80.68 |  86.21 |  71.4
|  fr |  85.75 |  87.34 |  84.58 |  66.05 |  50.71 |  76.53 |  96.69 |  95.56 |  96.54 |  80.34 |  86.67 |  71.63
|  es |  85.67 |  85.92 |  86.17 |  65.97 |  49.2 |  75.94 |  96.42 |  95.73 |  96.4 |  80.47 |  86.57 |  71.67
|  hi |  74.18 |  72.76 |  70.08 |  82.4 |  59.35 |  81.31 |  95.96 |  95.62 |  96.65 |  75.63 |  84.62 |  70.91
|  gu |  69.74 |  67.48 |  66.22 |  74.18 |  66.64 |  81.47 |  96.06 |  96.33 |  97.13 |  77.41 |  73.11 |  69.97
|  bn |  71.58 |  70.75 |  68.4 |  77.12 |  56.75 |  82.65 |  96.23 |  96.21 |  96.84 |  76.13 |  86.61 |  70.89
LL |  en |  71.75 |  62.78 |  64.46 |  63.62 |  48.53 |  57.75 |  98.32 |  98.62 |  97.74 |  81.87 |  97.11 |  84.37
|  fr |  66.47 |  72.42 |  67.81 |  64.96 |  48.37 |  59.43 |  98.28 |  95.77 |  97.59 |  83.13 |  97.17 |  84.68
|  es |  66.97 |  65.46 |  73.43 |  64.54 |  48.45 |  59.01 |  98.49 |  98.45 |  95.39 |  83.11 |  97.23 |  84.35
|  hi |  53.81 |  54.65 |  54.74 |  82.98 |  57.92 |  78.29 |  98.87 |  98.85 |  98.51 |  67.31 |  87.43 |  70.66
|  gu |  53.06 |  54.4 |  53.56 |  73.09 |  66.14 |  71.92 |  98.16 |  98.78 |  98.28 |  69.17 |  79.19 |  78.33
|  bn |  53.48 |  54.57 |  53.73 |  76.61 |  53.73 |  80.13 |  98.87 |  98.91 |  98.72 |  70.14 |  86.78 |  67.5
RL |  en |  82.98 |  75.19 |  78.21 |  49.29 |  48.28 |  48.2 |  97.74 |  97.95 |  97.42 |  71.67 |  81.1 |  63.43
|  fr |  76.19 |  83.32 |  75.78 |  49.37 |  48.28 |  48.03 |  97.69 |  96.69 |  97.51 |  71.44 |  80.22 |  63.27
|  es |  74.69 |  72.42 |  84.91 |  49.45 |  48.28 |  48.11 |  97.9 |  97.78 |  95.98 |  71.44 |  80.72 |  63.29
|  hi |  65.13 |  64.29 |  65.72 |  61.36 |  48.45 |  49.54 |  97.69 |  97.67 |  97.32 |  72.59 |  80.72 |  64.27
|  gu |  61.78 |  61.27 |  61.27 |  49.96 |  64.12 |  48.37 |  97.53 |  97.84 |  97.74 |  73.41 |  69.15 |  64.5
|  bn |  64.46 |  62.95 |  64.8 |  51.72 |  48.37 |  60.35 |  97.55 |  97.65 |  97.44 |  72.17 |  81.54 |  63.2

Table 32:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned BLOOM on the fever ‘en’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  69.74 |  73.6 |  74.18 |  43.09 |  48.7 |  54.23 |  93.13 |  93.13 |  93.13 |  93.13 |  93.13 |  93.13
|  fr |  77.62 |  83.4 |  81.89 |  48.37 |  48.45 |  52.22 |  92.9 |  92.9 |  92.9 |  92.9 |  92.9 |  92.9
|  es |  74.35 |  78.54 |  78.12 |  47.28 |  48.7 |  53.65 |  92.58 |  92.58 |  92.58 |  92.58 |  92.58 |  92.58
|  hi |  68.4 |  70.58 |  69.99 |  42.16 |  48.45 |  53.98 |  43.27 |  43.27 |  43.27 |  43.27 |  43.27 |  43.27
|  gu |  69.24 |  70.83 |  71.84 |  43.92 |  48.2 |  52.3 |  41.95 |  41.95 |  41.95 |  41.95 |  41.95 |  41.95
|  bn |  60.52 |  62.11 |  62.36 |  38.39 |  48.79 |  59.35 |  58.3 |  58.3 |  58.3 |  58.3 |  58.3 |  58.3
ML |  en |  89.77 |  85.75 |  84.83 |  51.47 |  48.11 |  60.35 |  94.55 |  99.1 |  98.64 |  85.02 |  97.4 |  90.17
|  fr |  80.81 |  89.1 |  83.49 |  51.55 |  48.11 |  59.35 |  99.2 |  98.97 |  98.83 |  86.78 |  97.13 |  91.66
|  es |  84.16 |  86.67 |  89.52 |  51.55 |  48.03 |  59.85 |  99.22 |  98.74 |  91.34 |  85.5 |  97.36 |  90.91
|  hi |  63.45 |  64.54 |  64.88 |  73.34 |  48.37 |  81.47 |  97.17 |  97.09 |  97.21 |  64.27 |  87.51 |  67.71
|  gu |  61.86 |  63.7 |  62.28 |  62.53 |  63.37 |  75.52 |  96.19 |  95.18 |  95.96 |  68.04 |  76.7 |  83.0
|  bn |  59.77 |  59.93 |  59.18 |  67.22 |  48.45 |  84.33 |  96.42 |  95.73 |  95.87 |  65.4 |  89.67 |  63.41
LL |  en |  86.17 |  76.87 |  66.3 |  49.2 |  48.11 |  50.63 |  91.72 |  91.58 |  90.8 |  43.15 |  46.42 |  57.79
|  fr |  66.81 |  92.12 |  71.5 |  48.95 |  48.2 |  49.54 |  89.73 |  89.63 |  88.96 |  41.66 |  45.24 |  57.82
|  es |  71.0 |  87.01 |  84.49 |  49.2 |  48.11 |  50.71 |  90.74 |  90.97 |  89.96 |  42.27 |  45.64 |  57.75
|  hi |  57.0 |  68.06 |  54.57 |  77.54 |  51.3 |  79.88 |  91.95 |  91.6 |  91.79 |  43.57 |  48.64 |  58.47
|  gu |  55.24 |  63.96 |  52.64 |  64.21 |  65.72 |  63.03 |  92.2 |  92.39 |  91.62 |  43.02 |  47.11 |  58.47
|  bn |  54.4 |  60.94 |  52.81 |  74.1 |  48.62 |  83.49 |  93.04 |  93.34 |  92.31 |  44.66 |  50.08 |  58.74
RL |  en |  53.73 |  61.61 |  52.56 |  48.2 |  48.2 |  48.28 |  98.18 |  97.11 |  98.37 |  83.97 |  89.5 |  85.14
|  fr |  52.81 |  68.23 |  52.56 |  48.2 |  48.2 |  48.11 |  98.51 |  93.9 |  98.6 |  83.74 |  89.44 |  84.91
|  es |  52.56 |  59.68 |  52.81 |  48.11 |  48.2 |  48.37 |  98.7 |  97.59 |  98.53 |  83.86 |  89.38 |  85.04
|  hi |  51.89 |  52.05 |  52.05 |  66.22 |  48.28 |  60.18 |  97.92 |  98.78 |  98.22 |  73.07 |  93.48 |  83.53
|  gu |  51.97 |  52.05 |  52.05 |  48.79 |  62.53 |  50.54 |  97.25 |  98.09 |  97.61 |  88.92 |  75.36 |  87.7
|  bn |  52.05 |  52.14 |  52.05 |  52.56 |  48.28 |  74.6 |  97.84 |  98.51 |  98.05 |  84.43 |  92.35 |  70.64

Table 33:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned BLOOM on the fever ‘fr’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  76.11 |  73.93 |  82.06 |  63.79 |  48.03 |  85.83 |  94.32 |  93.53 |  91.68 |  57.86 |  77.68 |  58.51
|  fr |  75.78 |  83.07 |  88.01 |  62.2 |  48.03 |  81.73 |  93.65 |  91.89 |  89.69 |  58.97 |  76.42 |  58.24
|  es |  76.36 |  80.55 |  90.44 |  61.94 |  48.03 |  81.14 |  93.67 |  91.87 |  89.82 |  58.7 |  76.8 |  58.07
|  hi |  57.92 |  60.02 |  64.71 |  73.34 |  48.11 |  82.82 |  96.06 |  94.41 |  91.91 |  50.84 |  80.47 |  57.9
|  gu |  69.07 |  68.15 |  72.09 |  64.54 |  52.05 |  79.8 |  96.02 |  93.67 |  91.01 |  47.65 |  76.03 |  58.3
|  bn |  58.42 |  58.93 |  64.38 |  67.56 |  48.2 |  87.34 |  96.23 |  94.91 |  93.42 |  55.55 |  78.83 |  57.71
ML |  en |  54.74 |  56.58 |  65.63 |  48.11 |  48.2 |  49.29 |  94.66 |  94.97 |  89.96 |  82.17 |  78.44 |  72.42
|  fr |  52.64 |  55.83 |  65.55 |  48.11 |  48.2 |  49.45 |  95.58 |  95.16 |  91.37 |  82.02 |  78.12 |  72.59
|  es |  52.72 |  55.49 |  68.4 |  48.11 |  48.2 |  49.79 |  96.08 |  95.73 |  90.76 |  82.27 |  77.85 |  72.92
|  hi |  52.05 |  52.05 |  52.05 |  54.65 |  48.28 |  70.83 |  97.25 |  95.18 |  92.94 |  77.26 |  85.31 |  72.0
|  gu |  52.05 |  52.14 |  52.3 |  48.45 |  59.18 |  55.07 |  97.34 |  95.16 |  93.02 |  80.2 |  73.26 |  77.43
|  bn |  52.3 |  52.22 |  52.14 |  48.7 |  48.28 |  69.57 |  96.19 |  95.43 |  93.71 |  81.01 |  82.94 |  69.64
LL |  en |  70.16 |  58.09 |  75.36 |  48.11 |  48.37 |  48.95 |  93.92 |  97.17 |  96.4 |  84.09 |  97.09 |  76.45
|  fr |  56.33 |  74.35 |  87.59 |  48.03 |  48.45 |  48.45 |  97.82 |  96.44 |  97.19 |  84.58 |  96.75 |  77.89
|  es |  56.33 |  65.97 |  95.64 |  48.11 |  48.45 |  48.87 |  98.11 |  97.59 |  96.54 |  84.43 |  96.79 |  77.72
|  hi |  52.89 |  52.81 |  67.06 |  85.33 |  61.44 |  83.57 |  97.65 |  95.49 |  92.96 |  54.32 |  85.06 |  62.89
|  gu |  53.9 |  53.48 |  73.68 |  51.72 |  59.43 |  60.1 |  98.11 |  97.13 |  96.33 |  77.75 |  77.01 |  75.78
|  bn |  52.14 |  52.22 |  65.05 |  69.24 |  55.91 |  77.2 |  97.86 |  97.15 |  96.44 |  63.47 |  81.08 |  60.41
RL |  en |  53.65 |  52.47 |  56.66 |  48.03 |  48.28 |  50.21 |  97.3 |  97.4 |  95.89 |  84.81 |  84.7 |  78.1
|  fr |  53.31 |  52.64 |  57.84 |  48.03 |  48.28 |  49.62 |  97.84 |  97.55 |  95.64 |  84.72 |  84.45 |  77.77
|  es |  53.65 |  52.3 |  67.39 |  48.03 |  48.28 |  50.13 |  98.16 |  97.88 |  92.12 |  84.77 |  84.39 |  77.62
|  hi |  52.05 |  52.14 |  52.05 |  52.47 |  48.37 |  65.97 |  97.67 |  95.75 |  94.26 |  77.93 |  91.22 |  78.75
|  gu |  52.05 |  52.14 |  52.05 |  48.03 |  60.77 |  53.4 |  97.55 |  95.68 |  94.26 |  83.24 |  76.28 |  82.19
|  bn |  52.05 |  52.14 |  52.05 |  48.03 |  48.37 |  75.02 |  97.3 |  96.33 |  94.93 |  84.7 |  89.02 |  68.44

Table 34:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned BLOOM on the fever ‘es’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  79.46 |  72.59 |  73.26 |  75.69 |  57.08 |  86.5 |  83.07 |  83.07 |  82.67 |  89.14 |  87.11 |  78.56
|  fr |  66.72 |  83.32 |  78.96 |  85.5 |  57.0 |  89.94 |  86.76 |  83.45 |  83.05 |  87.87 |  84.6 |  76.15
|  es |  66.97 |  78.29 |  85.5 |  84.33 |  58.68 |  90.61 |  87.55 |  84.43 |  84.35 |  87.83 |  85.18 |  75.82
|  hi |  54.15 |  64.71 |  63.54 |  97.15 |  54.4 |  94.55 |  93.19 |  90.84 |  90.38 |  85.27 |  89.38 |  78.92
|  gu |  54.23 |  64.04 |  62.28 |  79.8 |  92.04 |  98.41 |  92.9 |  88.37 |  88.7 |  88.81 |  71.52 |  70.08
|  bn |  54.15 |  61.94 |  61.02 |  77.62 |  72.09 |  99.67 |  93.04 |  88.85 |  88.98 |  88.45 |  77.7 |  69.76
ML |  en |  87.76 |  72.0 |  70.91 |  59.77 |  58.0 |  56.58 |  81.33 |  82.56 |  82.98 |  90.09 |  80.93 |  77.16
|  fr |  72.59 |  83.99 |  78.46 |  71.84 |  66.64 |  77.7 |  82.86 |  80.47 |  81.35 |  87.64 |  77.68 |  72.84
|  es |  71.33 |  79.38 |  84.24 |  70.41 |  66.89 |  77.28 |  83.0 |  80.16 |  81.03 |  88.33 |  77.54 |  72.8
|  hi |  66.3 |  69.24 |  68.57 |  93.71 |  59.43 |  93.21 |  87.05 |  83.74 |  83.82 |  82.88 |  77.91 |  68.21
|  gu |  64.04 |  73.18 |  73.34 |  74.35 |  86.0 |  89.52 |  83.26 |  78.6 |  78.08 |  87.43 |  67.54 |  66.37
|  bn |  62.95 |  70.24 |  70.24 |  82.23 |  68.9 |  99.33 |  85.94 |  80.68 |  81.08 |  85.0 |  70.87 |  63.68
LL |  en |  86.59 |  73.93 |  72.0 |  63.62 |  49.79 |  57.92 |  83.61 |  84.39 |  85.6 |  87.93 |  80.64 |  76.84
|  fr |  68.06 |  81.31 |  75.86 |  75.44 |  58.09 |  78.21 |  88.1 |  84.56 |  85.96 |  86.65 |  84.47 |  77.45
|  es |  67.9 |  77.2 |  81.22 |  74.27 |  58.59 |  77.79 |  88.31 |  84.85 |  85.5 |  87.3 |  84.35 |  77.85
|  hi |  59.43 |  66.47 |  65.8 |  95.64 |  62.95 |  90.86 |  93.08 |  87.36 |  87.74 |  81.66 |  81.62 |  72.92
|  gu |  55.41 |  68.23 |  67.48 |  78.96 |  96.48 |  94.05 |  92.46 |  84.35 |  84.72 |  86.04 |  63.66 |  64.59
|  bn |  53.81 |  65.05 |  64.29 |  84.66 |  78.54 |  99.41 |  93.4 |  86.08 |  85.9 |  80.39 |  66.68 |  60.44
RL |  en |  85.5 |  71.33 |  69.41 |  63.87 |  56.58 |  62.53 |  83.17 |  81.52 |  83.17 |  90.65 |  83.49 |  78.86
|  fr |  66.72 |  81.56 |  76.45 |  75.86 |  62.95 |  82.15 |  87.17 |  82.15 |  82.8 |  89.12 |  82.78 |  76.15
|  es |  65.8 |  75.86 |  80.39 |  74.43 |  62.61 |  83.15 |  87.17 |  81.98 |  83.24 |  89.35 |  82.23 |  76.05
|  hi |  55.74 |  65.8 |  64.12 |  94.3 |  58.09 |  93.46 |  92.1 |  86.57 |  86.73 |  85.1 |  84.24 |  74.02
|  gu |  55.99 |  68.9 |  69.66 |  76.19 |  80.55 |  91.11 |  89.1 |  80.95 |  81.58 |  87.76 |  72.36 |  69.3
|  bn |  53.65 |  66.05 |  65.55 |  81.06 |  66.97 |  99.25 |  91.05 |  84.66 |  84.77 |  87.51 |  78.16 |  69.15

Table 35:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned BLOOM on the fever ‘hi’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  52.14 |  52.14 |  52.14 |  53.81 |  62.36 |  53.9 |  99.98 |  100.0 |  99.94 |  96.1 |  95.77 |  96.19
|  fr |  52.05 |  52.14 |  52.05 |  53.73 |  61.94 |  54.48 |  99.94 |  100.0 |  99.89 |  96.14 |  95.49 |  96.21
|  es |  52.14 |  52.22 |  52.22 |  54.32 |  62.95 |  54.9 |  99.98 |  100.0 |  99.92 |  95.94 |  95.49 |  96.29
|  hi |  52.05 |  52.05 |  52.05 |  70.24 |  63.62 |  53.9 |  100.0 |  100.0 |  99.89 |  94.72 |  95.6 |  96.23
|  gu |  52.05 |  52.05 |  52.05 |  54.4 |  81.22 |  53.73 |  99.98 |  99.98 |  99.94 |  95.41 |  94.41 |  96.25
|  bn |  52.05 |  52.05 |  52.05 |  55.99 |  59.09 |  66.22 |  99.98 |  100.0 |  99.87 |  96.06 |  95.64 |  96.29
ML |  en |  52.05 |  52.05 |  52.05 |  53.56 |  59.35 |  52.56 |  100.0 |  100.0 |  99.96 |  97.48 |  96.58 |  98.72
|  fr |  52.05 |  52.05 |  52.05 |  53.73 |  60.1 |  52.89 |  100.0 |  100.0 |  99.96 |  97.48 |  96.33 |  98.55
|  es |  52.05 |  52.14 |  52.14 |  53.73 |  60.94 |  52.89 |  100.0 |  100.0 |  99.96 |  97.53 |  96.25 |  98.72
|  hi |  52.05 |  52.05 |  52.05 |  68.82 |  60.1 |  55.49 |  100.0 |  99.98 |  99.98 |  90.36 |  96.31 |  96.46
|  gu |  52.05 |  52.05 |  52.05 |  56.08 |  78.79 |  53.23 |  100.0 |  99.98 |  100.0 |  96.58 |  91.85 |  98.18
|  bn |  52.05 |  52.05 |  52.05 |  58.51 |  55.74 |  63.45 |  100.0 |  100.0 |  99.98 |  95.2 |  96.33 |  94.61
LL |  en |  52.05 |  52.05 |  52.05 |  50.29 |  50.46 |  51.8 |  100.0 |  100.0 |  99.94 |  96.81 |  94.28 |  98.11
|  fr |  52.05 |  52.05 |  52.05 |  50.29 |  50.29 |  52.05 |  100.0 |  100.0 |  99.96 |  97.0 |  94.38 |  98.32
|  es |  52.05 |  52.05 |  52.05 |  50.29 |  50.54 |  51.8 |  100.0 |  100.0 |  99.94 |  96.96 |  94.43 |  98.37
|  hi |  52.05 |  52.05 |  52.05 |  74.43 |  50.96 |  55.74 |  100.0 |  99.98 |  99.96 |  79.8 |  93.0 |  95.47
|  gu |  52.05 |  52.05 |  52.05 |  52.05 |  60.94 |  51.05 |  100.0 |  100.0 |  99.94 |  97.86 |  85.1 |  97.9
|  bn |  52.05 |  52.05 |  52.05 |  56.92 |  49.62 |  72.67 |  99.98 |  99.94 |  99.81 |  91.95 |  92.83 |  81.92
RL |  en |  52.05 |  52.05 |  52.05 |  58.68 |  58.09 |  54.4 |  100.0 |  100.0 |  99.96 |  97.05 |  97.99 |  97.82
|  fr |  52.05 |  52.05 |  52.05 |  58.76 |  60.27 |  54.15 |  100.0 |  100.0 |  99.96 |  96.96 |  97.76 |  97.74
|  es |  52.14 |  52.14 |  52.14 |  58.26 |  59.68 |  53.98 |  100.0 |  100.0 |  99.96 |  97.02 |  97.86 |  97.63
|  hi |  52.05 |  52.05 |  52.05 |  72.67 |  64.8 |  55.83 |  100.0 |  100.0 |  99.94 |  90.28 |  96.31 |  95.43
|  gu |  52.05 |  52.05 |  52.05 |  64.63 |  81.73 |  53.9 |  100.0 |  100.0 |  100.0 |  95.28 |  92.88 |  97.44
|  bn |  52.05 |  52.05 |  52.05 |  64.63 |  57.84 |  72.0 |  100.0 |  100.0 |  99.94 |  94.09 |  97.17 |  87.76

Table 36:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned BLOOM on the fever ‘gu’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  52.05 |  52.05 |  52.05 |  79.3 |  48.28 |  72.59 |  100.0 |  99.98 |  99.98 |  89.82 |  98.37 |  96.08
|  fr |  52.22 |  52.14 |  52.22 |  79.13 |  48.28 |  76.28 |  99.98 |  99.94 |  99.96 |  88.52 |  98.3 |  94.84
|  es |  52.22 |  52.22 |  52.14 |  77.95 |  48.28 |  77.62 |  100.0 |  99.98 |  99.98 |  88.37 |  98.26 |  94.61
|  hi |  52.05 |  51.97 |  51.97 |  88.43 |  48.45 |  79.8 |  100.0 |  100.0 |  100.0 |  80.01 |  97.02 |  93.13
|  gu |  52.05 |  52.05 |  52.05 |  76.45 |  60.18 |  80.13 |  99.98 |  99.98 |  99.96 |  85.83 |  89.5 |  93.61
|  bn |  52.05 |  52.05 |  52.05 |  77.03 |  48.45 |  92.12 |  100.0 |  99.98 |  99.98 |  90.53 |  98.22 |  94.95
ML |  en |  52.05 |  52.05 |  52.05 |  58.34 |  48.28 |  62.45 |  100.0 |  100.0 |  100.0 |  95.83 |  99.25 |  95.64
|  fr |  52.05 |  52.05 |  52.05 |  58.59 |  48.28 |  64.21 |  100.0 |  100.0 |  100.0 |  95.64 |  99.14 |  95.52
|  es |  52.05 |  52.05 |  52.05 |  59.26 |  48.28 |  64.38 |  100.0 |  100.0 |  100.0 |  95.66 |  99.14 |  95.43
|  hi |  52.05 |  52.05 |  52.05 |  77.7 |  48.28 |  70.83 |  100.0 |  100.0 |  100.0 |  84.28 |  98.74 |  93.02
|  gu |  52.05 |  52.05 |  52.05 |  60.77 |  59.01 |  67.06 |  100.0 |  100.0 |  100.0 |  95.58 |  82.86 |  95.6
|  bn |  52.05 |  52.05 |  52.05 |  61.94 |  48.28 |  77.37 |  100.0 |  100.0 |  100.0 |  94.38 |  99.41 |  90.97
LL |  en |  52.05 |  52.05 |  52.05 |  57.25 |  48.28 |  60.18 |  100.0 |  99.98 |  100.0 |  95.64 |  99.29 |  95.22
|  fr |  52.05 |  52.05 |  52.05 |  57.5 |  48.28 |  61.53 |  100.0 |  99.98 |  100.0 |  95.6 |  99.39 |  95.12
|  es |  52.05 |  52.05 |  52.05 |  57.84 |  48.28 |  61.36 |  100.0 |  100.0 |  100.0 |  95.7 |  99.35 |  95.01
|  hi |  52.05 |  52.05 |  52.05 |  81.06 |  48.28 |  63.96 |  100.0 |  100.0 |  100.0 |  79.13 |  99.5 |  93.84
|  gu |  52.05 |  52.05 |  52.05 |  59.85 |  58.93 |  64.63 |  100.0 |  100.0 |  100.0 |  94.7 |  76.36 |  92.02
|  bn |  52.05 |  52.05 |  52.05 |  60.86 |  48.28 |  75.86 |  100.0 |  100.0 |  100.0 |  94.13 |  99.62 |  86.88
RL |  en |  52.05 |  52.05 |  52.05 |  72.17 |  48.28 |  70.66 |  100.0 |  100.0 |  100.0 |  93.08 |  99.27 |  94.68
|  fr |  52.05 |  52.05 |  52.05 |  73.18 |  48.28 |  73.85 |  100.0 |  100.0 |  100.0 |  92.54 |  99.2 |  93.88
|  es |  52.05 |  52.14 |  52.14 |  73.26 |  48.28 |  74.02 |  100.0 |  100.0 |  100.0 |  92.31 |  99.18 |  93.8
|  hi |  52.05 |  52.05 |  52.05 |  87.26 |  48.28 |  81.64 |  100.0 |  100.0 |  100.0 |  78.94 |  96.38 |  90.61
|  gu |  52.05 |  52.05 |  52.05 |  77.12 |  61.36 |  83.66 |  100.0 |  100.0 |  100.0 |  86.97 |  77.1 |  88.98
|  bn |  52.05 |  52.05 |  52.05 |  75.02 |  48.28 |  85.5 |  100.0 |  100.0 |  100.0 |  90.86 |  97.59 |  92.0

Table 37:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned BLOOM on the fever ‘bn’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  72.0 |  73.09 |  72.59 |  54.32 |  48.79 |  52.81 |  90.95 |  91.14 |  91.64 |  93.08 |  96.9 |  94.45
|  fr |  68.31 |  74.85 |  71.5 |  52.89 |  48.45 |  52.39 |  90.82 |  91.03 |  91.32 |  94.03 |  97.55 |  95.73
|  es |  66.89 |  71.5 |  72.84 |  52.72 |  48.45 |  51.89 |  91.07 |  91.55 |  92.0 |  94.7 |  97.32 |  95.26
|  hi |  55.49 |  57.33 |  57.67 |  68.4 |  48.45 |  54.99 |  93.59 |  94.24 |  94.53 |  93.65 |  98.16 |  96.1
|  gu |  55.57 |  57.75 |  57.59 |  54.32 |  57.08 |  53.9 |  94.05 |  94.74 |  94.76 |  95.68 |  89.61 |  96.12
|  bn |  55.07 |  54.99 |  56.5 |  55.32 |  48.45 |  69.57 |  94.15 |  94.57 |  94.84 |  94.68 |  98.18 |  94.95
ML |  en |  75.69 |  74.94 |  71.75 |  56.92 |  48.7 |  56.33 |  95.64 |  96.35 |  96.96 |  94.97 |  96.48 |  95.01
|  fr |  73.09 |  81.89 |  76.03 |  56.58 |  48.53 |  55.99 |  95.68 |  94.64 |  96.56 |  94.8 |  96.98 |  95.89
|  es |  70.41 |  75.52 |  80.64 |  57.17 |  48.7 |  56.16 |  95.79 |  95.94 |  93.97 |  95.1 |  96.94 |  96.0
|  hi |  53.9 |  55.66 |  55.16 |  72.51 |  50.13 |  63.12 |  97.46 |  98.11 |  97.67 |  90.86 |  96.77 |  95.24
|  gu |  52.64 |  54.15 |  53.98 |  53.9 |  63.03 |  54.99 |  97.61 |  98.26 |  97.8 |  96.88 |  81.73 |  97.57
|  bn |  50.96 |  53.65 |  53.23 |  60.69 |  50.38 |  71.5 |  97.69 |  98.41 |  97.95 |  93.53 |  96.5 |  92.54
LL |  en |  76.78 |  60.86 |  59.43 |  53.9 |  48.53 |  54.74 |  93.97 |  97.8 |  97.25 |  94.68 |  96.75 |  95.2
|  fr |  63.87 |  77.87 |  62.36 |  55.49 |  48.45 |  53.31 |  97.28 |  93.97 |  97.67 |  95.31 |  97.09 |  96.33
|  es |  62.28 |  64.21 |  77.54 |  56.16 |  48.45 |  55.41 |  97.44 |  98.13 |  93.0 |  95.14 |  97.11 |  96.42
|  hi |  51.55 |  53.65 |  52.89 |  69.07 |  48.37 |  55.16 |  98.2 |  98.95 |  98.6 |  91.45 |  97.84 |  96.75
|  gu |  52.14 |  53.23 |  53.23 |  51.72 |  59.93 |  54.06 |  97.97 |  98.78 |  98.37 |  96.17 |  81.98 |  97.21
|  bn |  51.72 |  52.98 |  52.56 |  55.66 |  48.37 |  72.42 |  98.43 |  98.89 |  98.55 |  95.85 |  97.86 |  91.24
RL |  en |  69.57 |  61.11 |  59.77 |  54.99 |  48.62 |  54.15 |  94.38 |  97.05 |  96.63 |  93.8 |  95.85 |  94.78
|  fr |  59.35 |  71.33 |  62.45 |  54.23 |  48.62 |  53.56 |  96.14 |  94.66 |  96.6 |  94.13 |  96.06 |  95.31
|  es |  58.34 |  61.44 |  74.85 |  54.65 |  48.62 |  53.9 |  96.48 |  97.28 |  91.89 |  94.17 |  96.21 |  95.6
|  hi |  51.3 |  52.72 |  52.22 |  70.83 |  48.11 |  54.4 |  97.95 |  98.41 |  98.22 |  86.99 |  97.3 |  97.17
|  gu |  51.21 |  52.3 |  51.97 |  50.38 |  60.44 |  52.56 |  97.78 |  98.26 |  97.88 |  96.25 |  81.87 |  97.34
|  bn |  50.8 |  52.05 |  51.89 |  54.4 |  48.11 |  70.75 |  98.22 |  98.6 |  98.41 |  96.79 |  97.65 |  89.54

Table 38:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned BLOOM on the fever ‘mixed’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  66.55 |  61.44 |  61.78 |  53.81 |  56.41 |  52.89 |  98.53 |  99.02 |  98.89 |  95.87 |  96.35 |  96.63
|  fr |  60.44 |  67.48 |  64.29 |  53.23 |  56.66 |  52.22 |  98.93 |  99.31 |  99.12 |  96.67 |  96.56 |  96.94
|  es |  60.6 |  62.95 |  66.81 |  52.64 |  58.84 |  54.23 |  98.91 |  99.27 |  98.97 |  96.73 |  96.12 |  96.46
|  hi |  51.38 |  53.06 |  53.23 |  81.22 |  50.29 |  55.91 |  99.54 |  99.71 |  99.56 |  96.56 |  97.76 |  97.78
|  gu |  50.46 |  52.64 |  52.64 |  51.47 |  94.22 |  52.14 |  99.29 |  99.67 |  99.41 |  97.09 |  92.5 |  97.3
|  bn |  50.38 |  52.81 |  52.72 |  53.14 |  49.45 |  80.22 |  99.58 |  99.67 |  99.33 |  97.25 |  98.16 |  97.28
ML |  en |  75.61 |  70.41 |  69.49 |  67.81 |  58.76 |  64.21 |  95.81 |  96.84 |  97.09 |  93.38 |  95.96 |  94.07
|  fr |  66.72 |  72.67 |  69.41 |  64.96 |  59.6 |  63.45 |  97.13 |  97.69 |  97.78 |  94.05 |  95.66 |  95.08
|  es |  66.72 |  68.31 |  72.09 |  64.96 |  59.43 |  64.46 |  97.57 |  98.2 |  97.76 |  93.36 |  95.45 |  94.82
|  hi |  54.99 |  56.5 |  55.66 |  93.55 |  51.8 |  76.45 |  98.89 |  99.25 |  99.14 |  87.39 |  96.81 |  90.38
|  gu |  50.8 |  53.14 |  52.89 |  53.73 |  93.71 |  55.83 |  99.02 |  99.22 |  99.04 |  97.19 |  93.17 |  96.92
|  bn |  53.65 |  55.07 |  55.41 |  76.78 |  51.21 |  92.88 |  99.08 |  99.37 |  99.25 |  89.44 |  96.96 |  87.64
LL |  en |  61.94 |  58.26 |  58.26 |  54.57 |  51.55 |  56.16 |  98.89 |  99.37 |  99.18 |  95.98 |  94.68 |  95.08
|  fr |  55.41 |  61.11 |  59.09 |  52.81 |  51.3 |  53.9 |  99.25 |  99.54 |  99.41 |  96.9 |  95.03 |  96.75
|  es |  55.57 |  58.17 |  60.44 |  52.89 |  51.13 |  53.56 |  99.29 |  99.52 |  99.43 |  96.96 |  95.08 |  96.69
|  hi |  50.54 |  52.39 |  52.39 |  93.38 |  49.29 |  63.12 |  99.75 |  99.85 |  99.79 |  78.25 |  96.56 |  94.13
|  gu |  50.46 |  52.39 |  52.14 |  49.45 |  90.7 |  52.47 |  99.75 |  99.92 |  99.79 |  98.24 |  84.72 |  98.39
|  bn |  50.46 |  52.3 |  52.22 |  60.69 |  49.71 |  92.29 |  99.58 |  99.85 |  99.71 |  92.83 |  96.04 |  82.56
RL |  en |  78.37 |  72.42 |  72.42 |  70.33 |  68.23 |  63.37 |  93.53 |  94.95 |  95.05 |  91.09 |  93.86 |  92.31
|  fr |  70.66 |  74.69 |  72.42 |  68.4 |  69.15 |  62.28 |  95.49 |  95.79 |  96.04 |  92.16 |  93.73 |  93.69
|  es |  69.82 |  72.0 |  74.6 |  67.98 |  68.57 |  63.7 |  95.7 |  96.14 |  96.17 |  92.39 |  93.53 |  93.65
|  hi |  57.42 |  57.33 |  57.33 |  94.72 |  51.21 |  77.37 |  99.04 |  99.37 |  99.22 |  78.9 |  97.07 |  90.15
|  gu |  50.71 |  52.47 |  52.47 |  52.3 |  98.58 |  54.15 |  99.37 |  99.6 |  99.71 |  97.95 |  87.99 |  97.88
|  bn |  53.56 |  54.9 |  55.07 |  76.7 |  50.63 |  93.38 |  99.16 |  99.52 |  99.45 |  88.98 |  97.23 |  85.5

Table 39:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned BLOOM on the fever ‘inverse’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  82.9 |  78.96 |  77.95 |  64.29 |  56.58 |  61.94 |  95.14 |  94.57 |  95.45 |  93.88 |  93.15 |  93.0
|  fr |  77.62 |  86.25 |  79.38 |  63.37 |  58.17 |  62.78 |  95.73 |  94.03 |  95.62 |  94.09 |  93.73 |  93.57
|  es |  74.1 |  76.87 |  81.06 |  63.62 |  59.43 |  63.29 |  95.56 |  94.41 |  95.31 |  94.3 |  93.29 |  93.23
|  hi |  60.18 |  62.36 |  61.86 |  84.33 |  65.8 |  71.0 |  95.28 |  94.09 |  95.41 |  92.39 |  89.88 |  90.78
|  gu |  55.07 |  56.92 |  56.5 |  65.8 |  85.92 |  70.41 |  95.24 |  94.32 |  94.91 |  90.84 |  86.55 |  88.94
|  bn |  58.59 |  60.52 |  60.35 |  69.41 |  70.33 |  88.35 |  95.31 |  94.01 |  95.39 |  91.51 |  88.68 |  88.66
ML |  en |  87.51 |  84.41 |  85.25 |  72.67 |  61.53 |  71.33 |  95.89 |  94.95 |  95.33 |  95.54 |  97.02 |  95.83
|  fr |  89.02 |  93.71 |  91.2 |  76.03 |  62.95 |  71.92 |  96.02 |  94.41 |  94.89 |  95.58 |  96.9 |  95.66
|  es |  86.25 |  86.25 |  89.61 |  73.6 |  62.36 |  70.91 |  96.0 |  94.76 |  95.1 |  95.98 |  97.05 |  95.7
|  hi |  64.21 |  66.89 |  68.23 |  92.62 |  75.52 |  80.3 |  96.79 |  95.01 |  95.77 |  93.63 |  93.57 |  93.86
|  gu |  57.33 |  59.51 |  60.18 |  77.95 |  92.2 |  81.98 |  96.54 |  94.93 |  95.26 |  92.27 |  89.35 |  91.41
|  bn |  63.29 |  66.55 |  67.06 |  82.48 |  81.06 |  94.97 |  96.42 |  94.91 |  95.47 |  93.38 |  91.87 |  91.07
LL |  en |  86.92 |  82.31 |  83.57 |  75.52 |  70.16 |  72.42 |  97.02 |  97.02 |  97.02 |  97.02 |  97.02 |  97.02
|  fr |  77.79 |  89.52 |  86.5 |  78.88 |  77.2 |  75.52 |  97.02 |  97.02 |  97.02 |  97.02 |  97.02 |  97.02
|  es |  75.44 |  79.97 |  88.1 |  80.22 |  78.46 |  75.94 |  97.09 |  97.09 |  97.09 |  97.09 |  97.09 |  97.09
|  hi |  62.11 |  68.65 |  74.1 |  89.19 |  85.5 |  79.97 |  97.38 |  97.38 |  97.38 |  97.38 |  97.38 |  97.38
|  gu |  58.42 |  64.54 |  69.57 |  82.82 |  94.13 |  80.55 |  97.51 |  97.51 |  97.51 |  97.51 |  97.51 |  97.51
|  bn |  61.02 |  65.97 |  70.33 |  83.66 |  88.01 |  86.84 |  97.28 |  97.28 |  97.28 |  97.28 |  97.28 |  97.28
RL |  en |  86.5 |  85.08 |  85.16 |  71.67 |  66.14 |  70.75 |  96.21 |  92.25 |  92.94 |  92.5 |  91.26 |  92.44
|  fr |  87.51 |  94.22 |  91.03 |  77.03 |  73.26 |  74.27 |  96.06 |  90.55 |  90.67 |  91.34 |  86.73 |  90.93
|  es |  83.91 |  87.85 |  90.28 |  74.35 |  72.42 |  72.67 |  95.81 |  91.07 |  90.3 |  91.3 |  85.92 |  90.78
|  hi |  63.54 |  69.91 |  71.25 |  91.45 |  83.24 |  81.81 |  96.33 |  91.55 |  92.16 |  88.66 |  81.31 |  87.78
|  gu |  57.08 |  63.2 |  65.63 |  80.05 |  94.22 |  84.49 |  96.4 |  91.01 |  90.36 |  86.11 |  75.38 |  84.14
|  bn |  61.27 |  67.56 |  68.57 |  79.3 |  86.59 |  94.47 |  96.21 |  91.81 |  91.58 |  88.77 |  80.07 |  85.23

Table 40:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned mBERT on the fever ‘en’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  93.71 |  88.94 |  88.1 |  53.31 |  52.05 |  52.05 |  97.99 |  98.64 |  98.87 |  99.96 |  99.94 |  100.0
|  fr |  82.56 |  99.25 |  88.27 |  52.81 |  52.05 |  52.14 |  99.5 |  98.34 |  99.54 |  99.98 |  100.0 |  99.98
|  es |  82.65 |  92.79 |  96.56 |  52.81 |  52.05 |  52.14 |  99.22 |  98.89 |  98.24 |  100.0 |  100.0 |  100.0
|  hi |  54.23 |  53.48 |  54.48 |  65.88 |  52.39 |  52.81 |  99.62 |  99.81 |  99.75 |  99.75 |  99.89 |  99.87
|  gu |  52.05 |  52.05 |  52.22 |  52.14 |  57.08 |  52.05 |  99.94 |  100.0 |  99.98 |  100.0 |  99.79 |  100.0
|  bn |  52.22 |  52.3 |  52.47 |  52.56 |  52.64 |  69.49 |  99.83 |  99.92 |  99.96 |  99.98 |  99.85 |  99.37
ML |  en |  93.97 |  84.66 |  84.24 |  60.77 |  52.56 |  53.73 |  97.32 |  99.35 |  99.27 |  99.67 |  99.98 |  99.94
|  fr |  99.25 |  99.58 |  98.49 |  72.84 |  55.24 |  59.6 |  96.79 |  97.86 |  98.32 |  99.43 |  99.98 |  99.87
|  es |  92.62 |  92.29 |  93.46 |  63.2 |  53.31 |  54.99 |  97.28 |  98.87 |  98.6 |  99.43 |  99.98 |  99.96
|  hi |  68.31 |  63.2 |  62.78 |  80.64 |  57.25 |  59.93 |  97.59 |  99.02 |  99.2 |  97.07 |  99.56 |  99.52
|  gu |  57.0 |  53.9 |  54.15 |  59.01 |  59.85 |  55.24 |  98.93 |  99.81 |  99.73 |  99.35 |  99.81 |  99.87
|  bn |  63.62 |  59.43 |  59.35 |  69.24 |  59.6 |  75.44 |  98.62 |  99.64 |  99.67 |  98.97 |  99.87 |  99.39
LL |  en |  99.58 |  93.38 |  98.24 |  75.78 |  76.61 |  78.46 |  71.96 |  99.08 |  93.46 |  95.6 |  87.11 |  91.58
|  fr |  98.16 |  99.58 |  99.08 |  73.51 |  75.19 |  71.84 |  97.78 |  98.11 |  97.15 |  99.08 |  91.89 |  97.9
|  es |  99.5 |  94.64 |  99.92 |  87.85 |  94.13 |  89.44 |  95.58 |  99.41 |  79.72 |  92.5 |  66.62 |  85.14
|  hi |  90.03 |  66.81 |  96.56 |  100.0 |  100.0 |  100.0 |  89.98 |  98.43 |  84.16 |  52.26 |  52.14 |  52.33
|  gu |  83.99 |  54.74 |  93.97 |  100.0 |  100.0 |  100.0 |  83.63 |  98.99 |  71.44 |  52.33 |  52.05 |  52.08
|  bn |  86.17 |  60.44 |  90.28 |  99.58 |  99.75 |  99.83 |  87.45 |  99.33 |  83.36 |  53.44 |  52.39 |  52.3
RL |  en |  79.8 |  84.41 |  76.7 |  52.3 |  52.05 |  52.05 |  98.74 |  99.08 |  99.08 |  99.92 |  99.92 |  99.92
|  fr |  75.52 |  98.74 |  92.37 |  52.14 |  52.05 |  52.05 |  99.5 |  97.59 |  98.6 |  99.98 |  100.0 |  100.0
|  es |  70.24 |  91.45 |  92.54 |  52.22 |  52.05 |  52.05 |  99.5 |  98.66 |  98.37 |  100.0 |  100.0 |  100.0
|  hi |  58.34 |  63.37 |  61.27 |  59.43 |  52.14 |  52.14 |  99.62 |  99.35 |  99.35 |  99.79 |  99.89 |  99.92
|  gu |  53.98 |  54.99 |  54.65 |  52.64 |  52.14 |  52.05 |  99.75 |  99.73 |  99.69 |  99.98 |  100.0 |  100.0
|  bn |  53.98 |  56.33 |  54.48 |  52.39 |  52.05 |  52.39 |  99.77 |  99.81 |  99.77 |  100.0 |  100.0 |  100.0

Table 41:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned mBERT on the fever ‘fr’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  55.07 |  58.93 |  53.14 |  53.65 |  53.23 |  52.22 |  97.48 |  92.79 |  99.31 |  98.72 |  98.97 |  99.56
|  fr |  56.92 |  65.88 |  54.57 |  55.41 |  55.07 |  52.89 |  94.66 |  85.83 |  97.8 |  97.23 |  97.15 |  98.81
|  es |  60.35 |  72.51 |  56.33 |  57.5 |  56.75 |  53.65 |  90.91 |  79.61 |  97.0 |  94.7 |  95.49 |  97.97
|  hi |  59.09 |  67.31 |  54.99 |  56.33 |  55.07 |  52.98 |  91.45 |  83.34 |  96.25 |  95.2 |  96.46 |  98.58
|  gu |  59.18 |  65.72 |  54.74 |  55.24 |  55.99 |  52.72 |  93.42 |  83.78 |  97.51 |  96.29 |  96.25 |  98.53
|  bn |  57.08 |  60.6 |  54.23 |  55.32 |  54.65 |  53.9 |  93.17 |  85.88 |  97.46 |  96.84 |  96.88 |  98.24
ML |  en |  97.99 |  94.38 |  92.79 |  64.54 |  60.35 |  60.1 |  99.1 |  99.77 |  99.85 |  99.85 |  99.58 |  99.87
|  fr |  75.94 |  89.61 |  78.37 |  55.83 |  55.32 |  54.15 |  99.79 |  99.79 |  99.94 |  99.96 |  99.73 |  100.0
|  es |  97.23 |  98.32 |  99.08 |  73.85 |  66.97 |  66.22 |  99.31 |  99.16 |  99.27 |  99.6 |  99.08 |  99.67
|  hi |  66.72 |  71.33 |  68.23 |  93.97 |  88.77 |  83.57 |  99.33 |  99.25 |  99.58 |  90.97 |  83.26 |  92.71
|  gu |  67.14 |  69.41 |  68.31 |  92.88 |  99.08 |  95.39 |  98.7 |  98.41 |  98.78 |  79.27 |  64.02 |  79.04
|  bn |  61.02 |  63.37 |  61.11 |  82.06 |  90.36 |  93.38 |  99.71 |  99.58 |  99.85 |  94.24 |  85.33 |  91.87
LL |  en |  97.82 |  81.81 |  68.99 |  60.94 |  55.07 |  59.77 |  85.98 |  99.43 |  99.94 |  99.81 |  99.89 |  99.79
|  fr |  89.27 |  99.92 |  83.4 |  67.98 |  55.99 |  65.88 |  99.5 |  91.45 |  99.94 |  99.94 |  99.98 |  99.87
|  es |  96.31 |  98.66 |  99.08 |  77.28 |  72.76 |  75.94 |  99.04 |  98.97 |  99.45 |  99.77 |  99.06 |  99.39
|  hi |  61.86 |  65.55 |  57.17 |  99.5 |  96.56 |  96.14 |  99.67 |  99.81 |  99.92 |  62.61 |  67.1 |  71.48
|  gu |  59.09 |  57.25 |  56.08 |  97.07 |  99.75 |  98.66 |  99.43 |  99.92 |  99.94 |  63.22 |  54.44 |  63.33
|  bn |  55.57 |  55.83 |  53.4 |  88.77 |  90.95 |  95.31 |  99.85 |  99.96 |  99.98 |  85.37 |  81.16 |  78.37
RL |  en |  94.55 |  88.35 |  86.59 |  58.34 |  53.23 |  54.9 |  98.68 |  99.2 |  99.64 |  99.94 |  99.98 |  100.0
|  fr |  71.25 |  82.06 |  72.42 |  52.98 |  52.14 |  52.64 |  99.62 |  99.43 |  99.89 |  100.0 |  99.96 |  100.0
|  es |  94.3 |  96.65 |  98.16 |  63.7 |  54.99 |  57.5 |  98.64 |  98.39 |  98.66 |  99.71 |  99.75 |  99.85
|  hi |  62.95 |  65.05 |  62.53 |  88.01 |  74.94 |  71.92 |  99.52 |  99.43 |  99.67 |  95.62 |  93.71 |  96.96
|  gu |  61.94 |  62.2 |  60.94 |  87.01 |  97.9 |  90.86 |  99.31 |  99.29 |  99.5 |  87.13 |  74.79 |  85.65
|  bn |  60.44 |  62.36 |  58.76 |  73.85 |  75.19 |  87.34 |  99.29 |  99.45 |  99.73 |  96.79 |  94.41 |  95.91

Table 42:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned mBERT on the fever ‘es’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  85.58 |  82.56 |  83.49 |  62.78 |  59.18 |  63.12 |  82.0 |  86.84 |  85.56 |  98.6 |  96.0 |  97.53
|  fr |  81.14 |  89.02 |  85.41 |  58.09 |  57.08 |  58.51 |  88.37 |  87.76 |  88.87 |  99.14 |  96.21 |  98.26
|  es |  87.17 |  88.01 |  93.21 |  60.02 |  58.51 |  60.69 |  87.85 |  88.31 |  85.25 |  99.2 |  96.19 |  98.49
|  hi |  56.41 |  57.5 |  60.27 |  98.41 |  72.76 |  66.89 |  91.91 |  96.06 |  95.37 |  99.33 |  96.54 |  99.12
|  gu |  54.06 |  54.57 |  55.07 |  59.35 |  99.41 |  77.12 |  92.18 |  95.96 |  95.37 |  99.64 |  70.08 |  95.89
|  bn |  55.07 |  55.57 |  57.92 |  59.85 |  81.64 |  98.99 |  91.85 |  96.08 |  95.31 |  99.79 |  92.56 |  91.81
ML |  en |  82.15 |  84.24 |  85.08 |  61.02 |  58.51 |  61.27 |  89.21 |  80.81 |  81.5 |  98.39 |  97.44 |  97.82
|  fr |  90.11 |  97.48 |  97.07 |  67.22 |  63.7 |  69.32 |  90.88 |  76.76 |  79.38 |  99.2 |  98.32 |  98.2
|  es |  88.27 |  95.47 |  96.06 |  66.89 |  63.96 |  68.99 |  90.93 |  78.0 |  79.21 |  98.89 |  98.01 |  97.97
|  hi |  70.66 |  84.16 |  86.92 |  98.32 |  86.34 |  87.76 |  93.99 |  84.56 |  85.58 |  97.82 |  96.14 |  96.86
|  gu |  62.28 |  73.6 |  76.53 |  81.39 |  98.99 |  90.95 |  94.03 |  86.17 |  86.76 |  98.51 |  90.7 |  95.58
|  bn |  67.39 |  79.8 |  81.22 |  79.63 |  88.6 |  98.49 |  94.03 |  84.22 |  85.16 |  98.2 |  94.8 |  94.22
LL |  en |  90.78 |  88.18 |  88.43 |  59.85 |  60.94 |  62.53 |  69.38 |  83.38 |  87.41 |  98.78 |  97.59 |  98.18
|  fr |  82.15 |  97.4 |  92.88 |  59.01 |  62.36 |  60.6 |  91.91 |  77.22 |  88.31 |  99.31 |  97.51 |  99.06
|  es |  87.43 |  96.4 |  98.58 |  66.97 |  80.3 |  67.39 |  92.35 |  85.18 |  70.68 |  98.83 |  91.01 |  98.45
|  hi |  60.86 |  76.7 |  79.88 |  98.32 |  90.36 |  81.47 |  97.19 |  96.02 |  95.35 |  98.55 |  94.55 |  98.66
|  gu |  56.58 |  63.54 |  74.69 |  79.04 |  99.92 |  88.1 |  96.81 |  96.4 |  93.53 |  98.41 |  70.37 |  95.94
|  bn |  59.26 |  71.5 |  72.84 |  72.25 |  94.72 |  97.99 |  95.98 |  94.49 |  93.92 |  98.66 |  87.09 |  93.08
RL |  en |  89.94 |  90.11 |  91.53 |  63.87 |  60.1 |  61.94 |  78.77 |  69.41 |  73.45 |  95.96 |  94.87 |  95.49
|  fr |  91.11 |  95.73 |  94.89 |  60.02 |  56.83 |  58.76 |  88.7 |  70.73 |  77.77 |  99.14 |  98.43 |  98.95
|  es |  88.6 |  95.05 |  94.55 |  59.18 |  57.67 |  58.76 |  89.31 |  74.81 |  76.87 |  98.89 |  98.24 |  98.51
|  hi |  65.05 |  87.59 |  86.34 |  97.32 |  78.79 |  74.69 |  95.22 |  88.14 |  89.17 |  99.12 |  98.81 |  99.29
|  gu |  59.68 |  74.77 |  74.27 |  68.4 |  98.83 |  73.76 |  95.24 |  90.23 |  91.14 |  99.41 |  95.49 |  99.04
|  bn |  62.2 |  80.97 |  79.55 |  67.56 |  75.27 |  94.22 |  94.8 |  88.01 |  89.38 |  99.58 |  98.39 |  98.43

Table 43:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned mBERT on the fever ‘hi’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  53.98 |  52.81 |  53.4 |  52.56 |  52.05 |  52.47 |  98.47 |  99.67 |  98.47 |  99.58 |  99.69 |  99.08
|  fr |  53.73 |  52.47 |  52.81 |  53.23 |  52.47 |  53.06 |  97.65 |  99.25 |  97.36 |  98.87 |  99.02 |  97.92
|  es |  56.5 |  53.23 |  56.33 |  54.9 |  53.14 |  54.15 |  96.73 |  98.93 |  96.44 |  98.37 |  98.78 |  97.28
|  hi |  58.59 |  54.74 |  57.59 |  83.66 |  72.42 |  80.3 |  93.55 |  96.27 |  93.63 |  90.93 |  91.6 |  88.45
|  gu |  55.16 |  53.48 |  53.9 |  68.99 |  92.2 |  81.31 |  96.46 |  98.26 |  96.17 |  91.68 |  89.96 |  89.04
|  bn |  54.32 |  52.81 |  53.73 |  67.31 |  74.69 |  84.83 |  96.88 |  98.41 |  96.52 |  92.54 |  92.48 |  89.82
ML |  en |  90.53 |  83.99 |  86.92 |  78.79 |  54.74 |  68.15 |  93.65 |  93.25 |  91.76 |  96.81 |  99.87 |  98.53
|  fr |  80.64 |  86.92 |  84.07 |  70.75 |  54.4 |  65.13 |  95.75 |  93.57 |  93.4 |  97.17 |  99.85 |  98.81
|  es |  95.89 |  95.98 |  96.98 |  86.17 |  59.93 |  77.95 |  89.77 |  85.6 |  84.18 |  95.18 |  99.71 |  97.28
|  hi |  79.3 |  83.57 |  83.57 |  94.47 |  68.06 |  76.95 |  94.91 |  93.04 |  93.55 |  96.5 |  99.6 |  98.34
|  gu |  66.81 |  69.24 |  67.9 |  80.39 |  96.14 |  77.79 |  96.98 |  95.68 |  96.52 |  98.32 |  98.81 |  98.95
|  bn |  74.52 |  78.04 |  76.95 |  81.89 |  71.0 |  95.81 |  95.16 |  93.59 |  94.45 |  96.75 |  99.41 |  95.68
LL |  en |  82.98 |  76.45 |  76.36 |  55.91 |  52.56 |  56.33 |  87.55 |  94.49 |  94.91 |  99.81 |  99.94 |  99.75
|  fr |  79.04 |  84.91 |  79.88 |  53.65 |  52.14 |  54.9 |  93.59 |  90.38 |  95.37 |  99.92 |  99.96 |  99.94
|  es |  91.11 |  93.71 |  97.65 |  56.83 |  54.9 |  58.51 |  88.87 |  85.79 |  68.84 |  99.96 |  99.92 |  99.81
|  hi |  83.49 |  88.52 |  86.59 |  98.91 |  68.4 |  78.37 |  95.1 |  95.03 |  96.1 |  92.27 |  99.73 |  98.45
|  gu |  63.79 |  66.3 |  73.18 |  72.25 |  96.56 |  73.76 |  98.24 |  98.58 |  97.72 |  99.48 |  97.88 |  99.25
|  bn |  75.61 |  79.21 |  76.11 |  74.94 |  63.45 |  96.98 |  95.05 |  95.56 |  96.71 |  98.87 |  99.83 |  96.06
RL |  en |  52.89 |  52.14 |  52.22 |  53.06 |  52.47 |  53.23 |  98.47 |  96.58 |  95.31 |  99.64 |  99.89 |  99.69
|  fr |  53.14 |  52.98 |  54.82 |  55.07 |  53.06 |  54.99 |  99.54 |  98.07 |  95.77 |  99.27 |  99.77 |  99.43
|  es |  58.09 |  60.69 |  65.05 |  57.42 |  54.06 |  55.83 |  97.46 |  94.19 |  90.74 |  98.7 |  99.64 |  98.97
|  hi |  68.4 |  77.7 |  81.56 |  80.05 |  67.39 |  67.98 |  92.16 |  83.32 |  80.78 |  97.02 |  98.13 |  97.55
|  gu |  58.09 |  64.12 |  63.7 |  60.35 |  89.27 |  65.3 |  95.24 |  90.09 |  90.26 |  98.87 |  97.63 |  98.85
|  bn |  58.09 |  65.13 |  67.06 |  59.77 |  63.7 |  73.93 |  95.83 |  90.09 |  89.19 |  98.66 |  98.68 |  98.16

Table 44:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned mBERT on the fever ‘gu’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  94.3 |  93.38 |  91.11 |  60.1 |  54.32 |  54.57 |  79.74 |  74.98 |  80.3 |  98.11 |  98.53 |  99.58
|  fr |  93.55 |  97.4 |  94.72 |  61.11 |  53.65 |  54.15 |  83.21 |  71.86 |  79.63 |  98.43 |  99.08 |  99.73
|  es |  93.55 |  96.31 |  96.48 |  62.78 |  54.15 |  55.16 |  82.86 |  74.31 |  78.0 |  98.3 |  98.6 |  99.5
|  hi |  79.3 |  84.49 |  80.13 |  99.41 |  75.61 |  64.88 |  90.42 |  84.05 |  88.2 |  86.55 |  94.61 |  99.39
|  gu |  61.94 |  66.3 |  61.27 |  67.22 |  98.91 |  58.59 |  94.78 |  87.32 |  93.31 |  96.73 |  76.3 |  99.6
|  bn |  72.76 |  79.72 |  72.67 |  69.07 |  71.42 |  97.65 |  90.95 |  82.69 |  88.89 |  98.01 |  96.33 |  98.32
ML |  en |  78.62 |  80.81 |  85.67 |  62.87 |  59.6 |  53.23 |  94.78 |  91.34 |  88.27 |  98.3 |  97.78 |  99.96
|  fr |  90.44 |  96.4 |  97.15 |  77.03 |  69.66 |  57.0 |  89.92 |  82.59 |  80.01 |  95.52 |  95.28 |  99.77
|  es |  83.07 |  89.69 |  93.46 |  62.7 |  60.44 |  53.56 |  93.73 |  88.62 |  86.71 |  98.45 |  97.97 |  99.94
|  hi |  91.28 |  95.47 |  94.05 |  99.5 |  95.14 |  88.27 |  92.54 |  87.47 |  89.92 |  85.94 |  83.42 |  96.25
|  gu |  71.33 |  79.46 |  75.94 |  92.04 |  99.67 |  91.53 |  96.25 |  93.0 |  94.11 |  89.1 |  77.68 |  95.26
|  bn |  78.71 |  86.42 |  82.31 |  91.45 |  97.65 |  98.99 |  95.28 |  90.8 |  93.29 |  92.18 |  86.21 |  96.04
LL |  en |  98.91 |  99.41 |  98.58 |  78.71 |  65.97 |  60.86 |  66.11 |  70.91 |  81.6 |  98.43 |  98.85 |  99.71
|  fr |  100.0 |  100.0 |  99.83 |  83.15 |  67.98 |  64.63 |  73.6 |  53.44 |  73.24 |  98.53 |  99.2 |  99.89
|  es |  100.0 |  100.0 |  100.0 |  87.01 |  84.16 |  67.56 |  78.16 |  63.64 |  56.68 |  98.07 |  93.06 |  99.69
|  hi |  96.73 |  98.99 |  96.81 |  100.0 |  93.63 |  85.08 |  91.47 |  86.5 |  91.66 |  75.0 |  88.31 |  98.99
|  gu |  83.82 |  87.51 |  90.53 |  93.29 |  100.0 |  89.69 |  92.75 |  91.3 |  87.91 |  88.94 |  56.31 |  97.86
|  bn |  82.9 |  87.68 |  84.74 |  88.77 |  91.53 |  98.91 |  95.45 |  92.25 |  94.51 |  97.53 |  97.36 |  98.74
RL |  en |  97.32 |  97.48 |  95.14 |  73.26 |  69.15 |  52.89 |  73.74 |  59.18 |  78.56 |  95.45 |  94.99 |  99.92
|  fr |  99.41 |  99.41 |  99.41 |  86.0 |  81.31 |  54.15 |  71.1 |  54.78 |  73.18 |  92.83 |  92.33 |  99.92
|  es |  94.8 |  97.07 |  96.9 |  69.32 |  68.15 |  52.22 |  78.96 |  60.6 |  81.18 |  97.34 |  96.17 |  100.0
|  hi |  98.91 |  98.24 |  99.08 |  100.0 |  98.49 |  90.11 |  69.13 |  56.12 |  71.6 |  65.53 |  62.24 |  95.87
|  gu |  90.19 |  94.22 |  91.03 |  97.15 |  99.92 |  88.6 |  80.7 |  61.71 |  80.89 |  72.07 |  59.33 |  97.15
|  bn |  92.29 |  94.55 |  92.62 |  95.89 |  99.83 |  99.08 |  79.17 |  59.68 |  80.95 |  81.1 |  71.29 |  97.97

Table 45:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned mBERT on the fever ‘bn’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  81.98 |  77.45 |  78.37 |  67.39 |  57.17 |  63.62 |  94.11 |  93.61 |  93.97 |  92.44 |  95.91 |  93.27
|  fr |  77.95 |  85.58 |  79.72 |  67.48 |  58.68 |  66.39 |  95.14 |  93.29 |  93.94 |  92.92 |  95.26 |  93.78
|  es |  75.36 |  76.78 |  81.22 |  66.89 |  58.26 |  65.3 |  95.68 |  94.32 |  94.24 |  93.97 |  95.14 |  93.86
|  hi |  61.44 |  63.29 |  64.29 |  88.77 |  67.9 |  73.34 |  96.25 |  95.52 |  95.68 |  91.62 |  92.54 |  91.55
|  gu |  55.83 |  56.83 |  58.09 |  71.08 |  88.85 |  74.6 |  96.94 |  95.85 |  96.27 |  91.37 |  89.38 |  90.55
|  bn |  59.6 |  61.61 |  60.94 |  73.6 |  71.67 |  90.44 |  96.46 |  95.75 |  95.98 |  91.6 |  91.41 |  90.07
ML |  en |  84.74 |  82.23 |  82.48 |  76.19 |  64.21 |  73.68 |  95.12 |  94.19 |  94.51 |  93.63 |  95.96 |  93.88
|  fr |  91.79 |  94.64 |  93.71 |  83.57 |  68.15 |  78.96 |  95.77 |  93.31 |  94.03 |  93.59 |  95.87 |  93.75
|  es |  88.52 |  89.52 |  92.2 |  79.46 |  66.47 |  75.44 |  96.12 |  94.13 |  94.41 |  94.13 |  95.6 |  94.34
|  hi |  69.91 |  72.67 |  72.84 |  95.81 |  84.33 |  87.09 |  97.05 |  95.39 |  95.98 |  91.22 |  91.83 |  91.7
|  gu |  59.77 |  62.7 |  63.37 |  86.84 |  97.57 |  91.11 |  97.19 |  95.58 |  95.77 |  90.32 |  86.71 |  89.61
|  bn |  66.89 |  70.75 |  69.91 |  87.59 |  89.61 |  97.07 |  96.88 |  95.1 |  95.85 |  90.91 |  90.72 |  89.17
LL |  en |  85.08 |  75.94 |  75.02 |  66.81 |  57.84 |  66.39 |  89.56 |  95.01 |  95.73 |  95.43 |  96.67 |  94.64
|  fr |  72.84 |  94.64 |  88.18 |  73.34 |  62.28 |  71.0 |  96.33 |  89.65 |  95.03 |  94.74 |  96.29 |  94.13
|  es |  67.64 |  85.0 |  92.37 |  71.92 |  66.14 |  69.66 |  96.69 |  94.72 |  89.82 |  94.38 |  95.45 |  94.43
|  hi |  59.43 |  64.96 |  66.81 |  96.9 |  75.78 |  83.66 |  97.4 |  95.1 |  96.23 |  88.79 |  94.76 |  92.41
|  gu |  55.24 |  59.35 |  64.71 |  81.64 |  97.07 |  84.49 |  97.48 |  95.35 |  95.89 |  92.79 |  81.31 |  92.25
|  bn |  58.42 |  63.37 |  64.04 |  81.98 |  77.79 |  97.15 |  97.21 |  95.01 |  95.94 |  92.9 |  94.43 |  86.21
RL |  en |  84.58 |  80.89 |  81.73 |  72.09 |  61.27 |  70.08 |  94.38 |  94.28 |  95.2 |  93.63 |  95.73 |  93.84
|  fr |  86.08 |  94.64 |  90.95 |  76.28 |  62.61 |  73.43 |  95.98 |  92.12 |  94.38 |  93.61 |  95.79 |  94.07
|  es |  82.56 |  87.01 |  90.86 |  74.35 |  62.78 |  72.09 |  96.29 |  94.45 |  94.34 |  94.15 |  95.75 |  94.32
|  hi |  63.62 |  67.73 |  68.4 |  95.81 |  82.06 |  85.33 |  96.79 |  95.58 |  96.33 |  89.08 |  90.03 |  90.84
|  gu |  57.67 |  58.84 |  60.52 |  84.24 |  96.81 |  88.43 |  97.19 |  96.02 |  96.5 |  89.63 |  84.93 |  88.77
|  bn |  62.36 |  65.13 |  65.8 |  85.75 |  85.33 |  96.81 |  96.79 |  95.45 |  96.54 |  90.05 |  89.63 |  88.14

Table 46:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned mBERT on the fever ‘mixed’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  81.89 |  76.61 |  75.27 |  66.81 |  61.27 |  62.11 |  94.55 |  94.47 |  93.65 |  94.59 |  95.91 |  95.2
|  fr |  78.88 |  83.91 |  79.04 |  70.58 |  64.04 |  64.12 |  93.71 |  93.0 |  92.85 |  93.75 |  95.22 |  94.45
|  es |  80.64 |  81.47 |  84.74 |  69.99 |  63.96 |  63.87 |  94.22 |  93.46 |  93.4 |  93.44 |  95.16 |  94.13
|  hi |  71.17 |  73.26 |  72.34 |  83.07 |  71.17 |  72.34 |  94.09 |  93.55 |  93.08 |  90.76 |  93.63 |  92.54
|  gu |  65.72 |  67.64 |  66.64 |  73.68 |  80.13 |  73.01 |  94.17 |  93.69 |  93.38 |  91.58 |  92.27 |  92.06
|  bn |  68.15 |  70.33 |  69.99 |  75.78 |  73.43 |  83.4 |  93.92 |  93.42 |  93.53 |  90.46 |  92.48 |  90.46
ML |  en |  93.04 |  89.77 |  89.35 |  79.97 |  71.84 |  73.93 |  95.31 |  94.68 |  93.53 |  95.05 |  94.95 |  95.16
|  fr |  91.11 |  93.71 |  92.2 |  84.24 |  76.19 |  77.12 |  94.8 |  93.65 |  93.25 |  94.55 |  94.55 |  94.55
|  es |  91.7 |  91.95 |  93.55 |  84.16 |  76.28 |  76.45 |  94.99 |  93.97 |  93.42 |  94.24 |  94.68 |  94.64
|  hi |  83.49 |  84.16 |  82.98 |  95.14 |  86.17 |  84.91 |  95.56 |  94.43 |  94.05 |  92.58 |  92.56 |  92.52
|  gu |  73.85 |  75.11 |  73.43 |  85.67 |  94.3 |  88.1 |  96.06 |  94.8 |  94.09 |  92.79 |  91.89 |  92.44
|  bn |  73.6 |  74.69 |  73.6 |  85.92 |  87.93 |  94.64 |  95.41 |  94.64 |  94.03 |  92.85 |  92.46 |  91.74
LL |  en |  92.54 |  87.93 |  87.09 |  76.03 |  67.64 |  69.57 |  96.71 |  96.35 |  96.35 |  96.35 |  96.35 |  96.35
|  fr |  88.27 |  93.63 |  89.1 |  79.63 |  70.66 |  71.84 |  96.75 |  95.94 |  96.44 |  96.46 |  97.42 |  97.19
|  es |  89.86 |  90.86 |  92.88 |  79.46 |  70.16 |  72.17 |  96.86 |  96.02 |  96.77 |  96.46 |  97.28 |  96.96
|  hi |  77.54 |  81.81 |  79.46 |  95.39 |  82.82 |  82.9 |  96.35 |  96.33 |  96.81 |  96.35 |  96.08 |  95.68
|  gu |  69.91 |  73.34 |  71.0 |  85.0 |  94.8 |  87.34 |  97.13 |  96.46 |  97.11 |  95.43 |  94.99 |  95.52
|  bn |  68.99 |  73.34 |  70.33 |  82.4 |  85.25 |  94.97 |  97.21 |  96.63 |  96.67 |  95.47 |  95.98 |  95.1
RL |  en |  93.13 |  89.19 |  89.27 |  78.12 |  70.33 |  72.59 |  96.02 |  95.16 |  95.1 |  95.26 |  96.21 |  95.89
|  fr |  90.7 |  93.55 |  90.44 |  81.98 |  74.43 |  75.27 |  95.98 |  94.55 |  94.8 |  94.84 |  95.73 |  95.77
|  es |  90.86 |  91.7 |  94.05 |  81.14 |  73.51 |  75.52 |  95.85 |  94.84 |  94.53 |  95.08 |  96.02 |  95.22
|  hi |  80.89 |  82.06 |  80.89 |  94.47 |  85.75 |  84.83 |  96.27 |  95.28 |  95.47 |  92.6 |  93.34 |  92.96
|  gu |  72.59 |  73.34 |  73.6 |  85.5 |  95.39 |  90.11 |  96.29 |  95.22 |  95.12 |  92.1 |  91.16 |  92.0
|  bn |  72.25 |  75.11 |  73.18 |  85.08 |  88.77 |  95.39 |  96.12 |  95.33 |  95.26 |  92.37 |  92.5 |  91.51

Table 47:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned XLM-RoBERTa on the fever ‘en’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  99.83 |  90.36 |  94.22 |  76.36 |  64.88 |  70.58 |  96.5 |  99.14 |  98.66 |  95.03 |  97.25 |  93.55
|  fr |  92.46 |  99.33 |  92.88 |  68.48 |  64.12 |  67.81 |  99.12 |  98.66 |  99.18 |  97.4 |  96.98 |  95.28
|  es |  93.88 |  92.29 |  99.58 |  71.5 |  63.79 |  66.14 |  98.81 |  99.37 |  95.28 |  96.96 |  97.97 |  96.14
|  hi |  73.26 |  63.87 |  70.83 |  99.92 |  99.58 |  99.75 |  96.75 |  99.25 |  98.24 |  52.49 |  53.29 |  52.54
|  gu |  72.76 |  72.76 |  71.42 |  99.58 |  99.83 |  99.75 |  92.92 |  94.07 |  94.07 |  52.6 |  52.28 |  52.3
|  bn |  70.91 |  66.39 |  65.97 |  99.5 |  99.67 |  99.58 |  95.81 |  97.88 |  97.82 |  52.77 |  52.74 |  52.45
ML |  en |  99.5 |  95.89 |  97.15 |  85.33 |  71.08 |  78.62 |  97.46 |  99.12 |  98.68 |  97.48 |  98.81 |  97.42
|  fr |  97.07 |  99.16 |  96.31 |  83.99 |  70.08 |  78.12 |  98.26 |  98.72 |  98.74 |  97.57 |  98.34 |  97.11
|  es |  97.74 |  96.56 |  98.66 |  86.08 |  73.01 |  79.8 |  97.97 |  98.66 |  98.26 |  97.32 |  98.34 |  96.94
|  hi |  80.13 |  75.36 |  78.46 |  99.92 |  91.45 |  94.64 |  98.41 |  98.93 |  98.72 |  85.08 |  87.51 |  82.88
|  gu |  67.31 |  64.46 |  66.64 |  92.79 |  99.75 |  98.16 |  99.18 |  99.25 |  99.14 |  84.7 |  80.18 |  78.75
|  bn |  67.81 |  65.55 |  67.64 |  92.88 |  95.64 |  99.92 |  99.22 |  99.33 |  99.25 |  85.73 |  84.85 |  80.03
LL |  en |  99.5 |  94.97 |  96.4 |  81.47 |  71.75 |  72.59 |  94.7 |  96.9 |  95.85 |  94.07 |  96.31 |  95.18
|  fr |  94.8 |  97.99 |  95.47 |  77.95 |  70.91 |  71.84 |  96.08 |  96.67 |  96.27 |  94.32 |  96.19 |  95.6
|  es |  97.32 |  95.81 |  98.66 |  82.98 |  73.76 |  75.19 |  94.68 |  95.75 |  94.13 |  93.0 |  94.36 |  93.94
|  hi |  81.06 |  78.21 |  80.3 |  99.83 |  92.71 |  92.88 |  94.47 |  96.17 |  94.66 |  73.6 |  77.75 |  77.79
|  gu |  71.75 |  68.06 |  70.24 |  92.2 |  99.67 |  92.79 |  95.58 |  96.71 |  96.27 |  76.82 |  67.96 |  77.7
|  bn |  72.92 |  68.73 |  71.0 |  91.28 |  92.71 |  99.83 |  95.64 |  97.05 |  96.48 |  79.04 |  78.77 |  74.29
RL |  en |  99.33 |  91.7 |  94.72 |  82.98 |  64.38 |  75.94 |  98.2 |  99.31 |  98.74 |  97.34 |  99.12 |  96.73
|  fr |  94.72 |  97.65 |  95.22 |  84.07 |  64.88 |  76.19 |  98.76 |  98.99 |  98.64 |  97.4 |  99.12 |  96.92
|  es |  94.97 |  92.71 |  98.24 |  84.49 |  66.05 |  77.7 |  98.49 |  99.02 |  98.47 |  97.21 |  98.85 |  96.19
|  hi |  76.7 |  71.08 |  75.69 |  99.67 |  86.67 |  92.29 |  98.74 |  99.14 |  98.7 |  84.47 |  90.67 |  82.88
|  gu |  67.98 |  63.87 |  65.97 |  93.38 |  99.25 |  97.15 |  98.62 |  98.95 |  98.66 |  82.02 |  83.21 |  77.62
|  bn |  67.64 |  62.45 |  66.72 |  92.88 |  91.11 |  99.92 |  98.99 |  99.37 |  98.97 |  84.45 |  88.62 |  79.27

Table 48:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned XLM-RoBERTa on the fever ‘fr’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  98.74 |  83.49 |  83.66 |  74.52 |  57.08 |  61.69 |  97.23 |  99.33 |  99.62 |  95.35 |  98.91 |  96.94
|  fr |  87.59 |  98.07 |  82.65 |  69.82 |  59.85 |  62.61 |  99.16 |  97.99 |  99.64 |  95.83 |  98.11 |  96.48
|  es |  87.76 |  83.82 |  96.98 |  65.3 |  56.75 |  57.59 |  99.52 |  99.58 |  99.31 |  97.46 |  99.62 |  98.6
|  hi |  64.04 |  57.33 |  56.41 |  99.16 |  90.53 |  91.95 |  98.16 |  98.78 |  99.22 |  59.74 |  67.56 |  64.71
|  gu |  62.11 |  61.19 |  56.16 |  94.3 |  96.23 |  94.64 |  96.88 |  97.36 |  99.18 |  60.81 |  57.73 |  60.23
|  bn |  60.86 |  57.59 |  54.82 |  96.06 |  96.06 |  97.99 |  98.24 |  98.99 |  99.6 |  59.56 |  58.91 |  56.45
ML |  en |  95.81 |  88.6 |  89.19 |  72.17 |  66.97 |  68.48 |  98.2 |  98.41 |  98.64 |  97.97 |  97.97 |  97.88
|  fr |  86.84 |  94.72 |  85.5 |  70.08 |  65.46 |  66.81 |  98.66 |  98.34 |  98.76 |  98.22 |  98.03 |  97.76
|  es |  89.77 |  90.44 |  95.56 |  71.92 |  68.99 |  68.31 |  98.62 |  98.43 |  98.58 |  97.74 |  97.57 |  97.72
|  hi |  66.22 |  68.4 |  67.64 |  94.89 |  78.71 |  78.96 |  99.22 |  98.76 |  99.14 |  94.45 |  94.47 |  94.19
|  gu |  59.51 |  61.19 |  59.93 |  75.52 |  93.63 |  78.71 |  99.33 |  98.81 |  99.29 |  95.43 |  93.27 |  94.19
|  bn |  60.27 |  62.03 |  60.52 |  76.03 |  81.81 |  93.8 |  99.35 |  98.89 |  99.22 |  94.89 |  93.48 |  92.75
LL |  en |  99.41 |  95.47 |  95.47 |  78.37 |  74.27 |  69.91 |  96.1 |  96.84 |  97.55 |  93.67 |  92.6 |  96.58
|  fr |  91.03 |  98.49 |  91.7 |  79.13 |  74.85 |  69.82 |  97.57 |  96.29 |  98.11 |  93.46 |  92.79 |  96.38
|  es |  92.96 |  94.64 |  98.91 |  82.4 |  77.54 |  71.67 |  97.8 |  97.15 |  97.59 |  92.54 |  92.06 |  95.75
|  hi |  69.74 |  73.85 |  72.76 |  99.75 |  95.39 |  92.96 |  98.6 |  97.51 |  98.28 |  71.25 |  71.52 |  76.19
|  gu |  67.14 |  72.67 |  70.58 |  95.56 |  100.0 |  96.56 |  98.51 |  96.75 |  97.97 |  70.03 |  59.18 |  69.78
|  bn |  63.54 |  67.9 |  64.71 |  94.3 |  97.9 |  99.92 |  98.97 |  97.69 |  98.51 |  75.69 |  69.99 |  68.23
RL |  en |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  96.6 |  97.19 |  97.84 |  96.88 |  98.6 |  98.05
|  fr |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  96.88 |  96.69 |  97.55 |  96.67 |  98.24 |  97.9
|  es |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  97.19 |  97.28 |  97.51 |  96.6 |  98.26 |  97.88
|  hi |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  98.49 |  98.18 |  98.72 |  92.41 |  96.63 |  95.6
|  gu |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  98.62 |  98.3 |  98.93 |  93.69 |  93.84 |  94.93
|  bn |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  98.66 |  98.39 |  98.6 |  93.69 |  96.04 |  94.78

Table 49:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned XLM-RoBERTa on the fever ‘es’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  75.61 |  73.93 |  71.42 |  60.1 |  58.34 |  58.68 |  82.73 |  83.34 |  85.56 |  94.93 |  95.37 |  95.89
|  fr |  75.78 |  81.73 |  73.01 |  60.86 |  59.18 |  59.09 |  83.82 |  82.8 |  85.44 |  95.01 |  95.68 |  95.62
|  es |  75.19 |  76.36 |  76.95 |  60.94 |  59.35 |  58.09 |  82.73 |  83.34 |  84.79 |  95.83 |  95.49 |  96.42
|  hi |  69.49 |  69.99 |  70.83 |  87.01 |  69.15 |  71.58 |  87.15 |  83.09 |  84.77 |  90.72 |  92.85 |  92.0
|  gu |  67.56 |  70.33 |  70.66 |  76.87 |  82.56 |  73.43 |  86.08 |  79.63 |  81.41 |  87.05 |  86.63 |  87.68
|  bn |  68.4 |  70.33 |  72.0 |  77.45 |  74.85 |  87.51 |  85.75 |  80.95 |  82.65 |  89.19 |  89.21 |  88.37
ML |  en |  78.46 |  76.28 |  74.1 |  64.38 |  62.87 |  64.38 |  84.14 |  88.87 |  91.22 |  95.98 |  95.73 |  94.76
|  fr |  85.83 |  88.94 |  83.82 |  71.08 |  67.48 |  69.41 |  84.3 |  86.11 |  89.17 |  94.87 |  95.62 |  94.91
|  es |  85.5 |  86.42 |  85.08 |  72.09 |  69.99 |  71.08 |  81.83 |  84.77 |  87.05 |  93.61 |  94.26 |  93.55
|  hi |  76.95 |  79.38 |  76.45 |  95.56 |  80.39 |  82.15 |  88.73 |  92.08 |  94.61 |  96.17 |  95.91 |  93.88
|  gu |  70.75 |  73.09 |  68.4 |  71.08 |  91.03 |  80.55 |  89.06 |  92.18 |  95.22 |  97.95 |  96.25 |  94.95
|  bn |  73.85 |  76.7 |  73.68 |  76.78 |  81.31 |  96.4 |  88.31 |  92.04 |  94.49 |  97.48 |  95.94 |  92.85
LL |  en |  97.65 |  91.11 |  90.11 |  55.66 |  55.24 |  55.32 |  62.85 |  72.44 |  72.0 |  98.45 |  98.58 |  98.18
|  fr |  94.13 |  93.8 |  90.95 |  57.17 |  57.84 |  57.75 |  69.36 |  71.6 |  72.72 |  97.74 |  96.9 |  97.0
|  es |  92.62 |  88.27 |  90.61 |  57.84 |  58.68 |  57.84 |  69.55 |  74.02 |  72.48 |  97.4 |  96.33 |  96.84
|  hi |  65.13 |  67.64 |  66.81 |  94.22 |  77.87 |  72.67 |  89.08 |  92.33 |  93.06 |  93.99 |  94.78 |  95.83
|  gu |  63.87 |  69.07 |  66.14 |  71.33 |  95.89 |  77.62 |  88.85 |  89.8 |  91.47 |  96.67 |  86.65 |  93.92
|  bn |  66.39 |  71.67 |  68.99 |  73.6 |  84.24 |  94.13 |  87.57 |  88.56 |  90.38 |  95.98 |  91.58 |  90.07
RL |  en |  96.73 |  91.28 |  91.11 |  61.78 |  60.94 |  60.18 |  64.92 |  74.16 |  75.4 |  96.84 |  97.28 |  97.55
|  fr |  95.64 |  96.9 |  92.96 |  65.21 |  64.88 |  62.61 |  72.34 |  74.79 |  78.23 |  96.75 |  96.77 |  97.23
|  es |  93.97 |  92.04 |  92.62 |  65.63 |  64.8 |  63.29 |  72.8 |  76.45 |  77.75 |  96.69 |  96.79 |  97.13
|  hi |  76.61 |  80.72 |  79.21 |  97.82 |  82.98 |  83.66 |  90.51 |  86.78 |  89.1 |  95.58 |  94.82 |  94.66
|  gu |  69.66 |  75.36 |  74.02 |  76.7 |  97.07 |  86.0 |  90.17 |  86.42 |  89.19 |  97.19 |  91.16 |  93.4
|  bn |  72.34 |  77.37 |  76.19 |  81.89 |  90.03 |  98.16 |  89.98 |  86.3 |  88.79 |  95.94 |  91.89 |  90.61

Table 50:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned XLM-RoBERTa on the fever ‘hi’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  fr |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  es |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  hi |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  gu |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  bn |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
ML |  en |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  fr |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  es |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  hi |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  gu |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  bn |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
LL |  en |  86.5 |  89.61 |  75.52 |  75.69 |  56.24 |  85.33 |  72.4 |  67.06 |  81.43 |  80.83 |  97.51 |  69.55
|  fr |  94.13 |  97.4 |  91.7 |  85.92 |  65.63 |  93.29 |  61.15 |  56.68 |  66.72 |  70.64 |  89.86 |  61.0
|  es |  87.09 |  91.11 |  84.58 |  71.75 |  57.25 |  85.16 |  70.54 |  64.52 |  74.16 |  83.05 |  95.77 |  70.89
|  hi |  65.3 |  73.18 |  62.7 |  100.0 |  67.98 |  91.7 |  96.63 |  87.99 |  97.53 |  56.06 |  97.42 |  69.03
|  gu |  52.39 |  54.15 |  52.64 |  55.07 |  96.56 |  48.87 |  99.79 |  95.62 |  99.77 |  95.66 |  99.33 |  92.5
|  bn |  64.21 |  72.17 |  61.02 |  89.19 |  63.29 |  99.92 |  94.7 |  85.65 |  96.38 |  72.13 |  96.71 |  52.41
RL |  en |  55.41 |  55.32 |  54.06 |  52.47 |  52.05 |  52.05 |  97.25 |  96.67 |  97.76 |  99.37 |  100.0 |  99.43
|  fr |  56.75 |  59.77 |  57.0 |  53.06 |  52.05 |  52.64 |  96.65 |  94.11 |  96.33 |  99.12 |  99.94 |  99.33
|  es |  56.75 |  59.09 |  56.75 |  52.22 |  52.05 |  52.47 |  96.38 |  94.59 |  96.31 |  99.6 |  100.0 |  99.5
|  hi |  66.05 |  68.73 |  62.87 |  56.5 |  52.47 |  54.9 |  90.32 |  88.12 |  92.88 |  96.02 |  99.5 |  97.0
|  gu |  56.16 |  59.6 |  59.09 |  70.08 |  86.08 |  75.19 |  92.33 |  88.29 |  90.8 |  85.69 |  88.18 |  84.09
|  bn |  74.35 |  74.18 |  67.39 |  58.51 |  52.47 |  55.57 |  83.57 |  83.4 |  88.08 |  92.62 |  98.93 |  93.44

Table 51:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned XLM-RoBERTa on the fever ‘gu’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  fr |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  es |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  hi |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  gu |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  bn |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
ML |  en |  83.57 |  81.98 |  80.13 |  77.37 |  69.91 |  73.18 |  80.05 |  81.22 |  82.36 |  83.55 |  87.05 |  85.58
|  fr |  78.96 |  83.07 |  77.37 |  76.7 |  73.43 |  74.77 |  81.33 |  81.5 |  83.11 |  84.16 |  84.39 |  84.41
|  es |  80.81 |  81.89 |  81.06 |  77.03 |  69.49 |  73.09 |  80.59 |  80.62 |  83.0 |  83.49 |  87.8 |  85.83
|  hi |  80.05 |  78.54 |  78.88 |  88.6 |  75.69 |  81.22 |  81.22 |  82.0 |  82.25 |  82.98 |  83.24 |  83.36
|  gu |  80.39 |  80.47 |  79.3 |  81.89 |  92.71 |  84.83 |  77.43 |  78.0 |  79.13 |  80.07 |  76.19 |  80.13
|  bn |  76.03 |  77.79 |  76.45 |  81.98 |  85.5 |  90.86 |  78.86 |  79.63 |  80.76 |  82.63 |  79.13 |  81.75
LL |  en |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  fr |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  es |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  hi |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  gu |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  bn |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
RL |  en |  75.78 |  68.57 |  71.5 |  66.97 |  60.52 |  61.19 |  76.89 |  83.99 |  81.01 |  86.21 |  91.3 |  90.4
|  fr |  78.04 |  70.08 |  74.02 |  68.23 |  61.69 |  62.28 |  76.74 |  84.05 |  81.14 |  85.0 |  90.32 |  89.98
|  es |  75.94 |  68.06 |  71.75 |  66.47 |  60.52 |  61.36 |  77.1 |  84.16 |  81.25 |  86.27 |  91.28 |  90.34
|  hi |  79.46 |  70.58 |  73.68 |  67.48 |  61.19 |  61.69 |  75.52 |  82.84 |  79.36 |  84.51 |  90.26 |  89.19
|  gu |  80.39 |  75.11 |  78.46 |  73.85 |  63.03 |  66.3 |  79.95 |  84.26 |  82.36 |  83.45 |  87.85 |  87.22
|  bn |  64.54 |  68.65 |  68.82 |  81.47 |  85.0 |  91.11 |  89.44 |  89.17 |  89.0 |  86.55 |  83.34 |  84.64

Table 52:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned XLM-RoBERTa on the fever ‘bn’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  84.74 |  78.29 |  77.79 |  63.54 |  57.92 |  59.6 |  95.52 |  95.85 |  95.39 |  96.65 |  97.3 |  97.21
|  fr |  80.13 |  86.84 |  81.47 |  65.21 |  59.68 |  59.6 |  95.28 |  95.26 |  95.28 |  96.25 |  97.59 |  97.05
|  es |  80.89 |  83.15 |  87.43 |  64.88 |  59.35 |  60.1 |  95.68 |  95.56 |  95.26 |  96.31 |  97.69 |  96.96
|  hi |  65.55 |  66.81 |  65.8 |  86.42 |  66.64 |  69.32 |  96.6 |  96.29 |  96.0 |  95.12 |  96.92 |  96.54
|  gu |  59.09 |  60.86 |  58.34 |  69.57 |  86.59 |  69.24 |  96.4 |  96.42 |  96.17 |  96.19 |  95.37 |  96.21
|  bn |  60.6 |  61.44 |  60.35 |  70.75 |  69.49 |  87.59 |  96.33 |  96.33 |  96.08 |  95.49 |  96.65 |  95.16
ML |  en |  92.12 |  88.43 |  88.52 |  76.19 |  66.72 |  67.98 |  96.0 |  95.94 |  95.6 |  96.6 |  97.28 |  97.25
|  fr |  90.86 |  94.05 |  91.87 |  79.63 |  68.57 |  69.57 |  95.64 |  95.68 |  95.2 |  96.0 |  97.38 |  97.34
|  es |  91.62 |  92.37 |  93.13 |  78.62 |  68.99 |  69.49 |  96.0 |  95.81 |  95.33 |  96.14 |  97.09 |  96.69
|  hi |  80.47 |  81.22 |  79.63 |  94.72 |  82.65 |  81.98 |  96.38 |  95.91 |  95.85 |  95.62 |  97.19 |  96.48
|  gu |  71.42 |  71.42 |  70.33 |  84.33 |  93.71 |  84.58 |  96.79 |  96.21 |  95.94 |  96.06 |  96.58 |  96.54
|  bn |  71.33 |  72.17 |  71.0 |  83.4 |  83.32 |  94.89 |  96.4 |  96.23 |  96.0 |  95.77 |  96.58 |  96.38
LL |  en |  94.47 |  91.87 |  90.95 |  78.79 |  68.99 |  70.75 |  95.68 |  96.02 |  96.02 |  96.14 |  97.42 |  97.02
|  fr |  91.62 |  95.64 |  92.37 |  80.89 |  71.75 |  71.75 |  95.79 |  95.56 |  95.96 |  96.38 |  97.61 |  97.23
|  es |  93.13 |  93.55 |  94.72 |  80.3 |  70.08 |  72.76 |  96.08 |  95.87 |  95.96 |  96.14 |  97.63 |  97.25
|  hi |  78.79 |  81.22 |  79.88 |  95.98 |  83.82 |  84.16 |  96.81 |  96.73 |  97.07 |  95.75 |  97.15 |  96.6
|  gu |  70.58 |  72.84 |  71.0 |  85.5 |  95.64 |  87.76 |  96.98 |  96.79 |  97.07 |  95.94 |  95.73 |  96.48
|  bn |  70.33 |  72.17 |  71.0 |  84.83 |  87.01 |  95.39 |  96.98 |  97.09 |  97.28 |  95.89 |  96.88 |  95.68
RL |  en |  91.95 |  88.27 |  87.59 |  74.94 |  64.54 |  67.56 |  96.06 |  95.39 |  95.66 |  96.1 |  97.48 |  96.77
|  fr |  89.86 |  92.96 |  90.36 |  76.11 |  66.64 |  68.82 |  95.85 |  94.82 |  95.16 |  95.87 |  97.57 |  96.92
|  es |  89.69 |  91.28 |  93.21 |  74.94 |  66.22 |  68.4 |  95.89 |  95.33 |  95.43 |  95.68 |  97.48 |  96.54
|  hi |  77.79 |  78.04 |  77.79 |  94.22 |  80.89 |  81.47 |  96.75 |  95.75 |  96.19 |  95.52 |  97.34 |  96.54
|  gu |  69.41 |  69.99 |  67.9 |  83.07 |  93.38 |  84.58 |  96.79 |  95.89 |  95.77 |  95.96 |  96.31 |  96.19
|  bn |  69.32 |  70.75 |  68.31 |  82.15 |  82.56 |  94.3 |  96.58 |  95.68 |  96.23 |  95.64 |  96.77 |  96.12

Table 53:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned XLM-RoBERTa on the fever ‘mixed’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  95.81 |  99.25 |  99.67 |  79.46 |  52.39 |  52.47 |  58.97 |  54.04 |  54.25 |  74.12 |  99.18 |  99.62
|  fr |  89.02 |  99.08 |  98.07 |  69.99 |  53.06 |  52.39 |  64.71 |  55.49 |  56.79 |  80.55 |  98.7 |  99.83
|  es |  91.53 |  98.91 |  99.08 |  72.42 |  52.64 |  52.39 |  62.07 |  54.74 |  55.57 |  78.52 |  98.83 |  99.83
|  hi |  99.58 |  97.82 |  99.5 |  94.3 |  52.14 |  53.14 |  53.35 |  54.4 |  52.83 |  60.5 |  99.83 |  98.3
|  gu |  52.05 |  52.47 |  52.22 |  52.05 |  92.71 |  52.05 |  99.81 |  98.41 |  99.08 |  99.92 |  84.49 |  100.0
|  bn |  79.55 |  63.03 |  70.24 |  87.59 |  52.05 |  99.83 |  72.11 |  88.98 |  81.58 |  66.11 |  100.0 |  53.08
ML |  en |  100.0 |  99.58 |  99.41 |  99.58 |  53.48 |  66.14 |  52.08 |  52.28 |  52.49 |  52.89 |  98.81 |  86.4
|  fr |  100.0 |  99.75 |  99.67 |  98.07 |  53.73 |  60.27 |  52.14 |  52.33 |  52.28 |  55.16 |  98.22 |  91.34
|  es |  100.0 |  99.75 |  99.5 |  97.32 |  54.48 |  59.77 |  52.16 |  52.28 |  52.24 |  55.76 |  98.22 |  92.12
|  hi |  100.0 |  99.41 |  99.33 |  99.92 |  52.89 |  75.02 |  52.05 |  52.45 |  52.98 |  52.35 |  99.12 |  79.67
|  gu |  52.64 |  52.3 |  52.72 |  52.22 |  95.39 |  52.14 |  99.18 |  99.04 |  98.6 |  99.37 |  80.93 |  99.96
|  bn |  84.33 |  72.92 |  71.33 |  92.29 |  52.05 |  99.58 |  67.1 |  79.65 |  80.34 |  59.39 |  100.0 |  52.72
LL |  en |  93.38 |  92.46 |  93.38 |  65.55 |  52.64 |  59.35 |  60.1 |  61.15 |  59.43 |  88.66 |  99.25 |  93.67
|  fr |  97.9 |  97.9 |  97.82 |  74.02 |  53.48 |  63.87 |  55.72 |  56.22 |  55.41 |  79.48 |  98.93 |  88.16
|  es |  88.01 |  86.42 |  92.12 |  62.7 |  52.47 |  55.57 |  66.68 |  68.25 |  64.12 |  92.58 |  99.79 |  97.13
|  hi |  59.68 |  61.36 |  60.35 |  97.65 |  52.56 |  62.95 |  94.28 |  93.97 |  93.55 |  69.43 |  99.87 |  89.67
|  gu |  52.39 |  52.81 |  53.23 |  52.64 |  84.33 |  52.05 |  99.45 |  99.43 |  99.06 |  99.69 |  92.67 |  99.98
|  bn |  57.59 |  57.67 |  55.99 |  64.12 |  52.14 |  94.72 |  96.14 |  96.73 |  97.19 |  89.77 |  100.0 |  70.37
RL |  en |  84.16 |  87.43 |  84.74 |  74.18 |  52.22 |  52.56 |  60.1 |  61.15 |  59.43 |  88.66 |  99.25 |  93.67
|  fr |  84.58 |  88.77 |  87.17 |  75.19 |  52.39 |  52.98 |  55.72 |  56.22 |  55.41 |  79.48 |  98.93 |  88.16
|  es |  74.02 |  79.97 |  76.95 |  67.06 |  52.22 |  52.39 |  66.68 |  68.25 |  64.12 |  92.58 |  99.79 |  97.13
|  hi |  88.94 |  97.57 |  94.05 |  99.41 |  52.3 |  55.41 |  94.28 |  93.97 |  93.55 |  69.43 |  99.87 |  89.67
|  gu |  52.14 |  52.72 |  52.64 |  52.05 |  92.37 |  52.05 |  99.45 |  99.43 |  99.06 |  99.69 |  92.67 |  99.98
|  bn |  59.85 |  57.08 |  56.92 |  58.59 |  52.05 |  99.25 |  96.14 |  96.73 |  97.19 |  89.77 |  100.0 |  70.37

Table 54:  The table represents the $G_{S}$ and $S_{S}$ using KE over fine-
tuned XLM-RoBERTa on the fever ‘inverse’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  89.61 |  83.82 |  84.33 |  76.53 |  83.49 |  82.23 |  98.55 |  97.84 |  97.95 |  95.35 |  99.06 |  96.12
|  fr |  85.16 |  89.77 |  85.25 |  77.28 |  83.57 |  82.73 |  98.78 |  97.63 |  97.95 |  95.1 |  98.99 |  96.14
|  es |  85.92 |  84.66 |  89.44 |  76.45 |  83.4 |  82.15 |  98.78 |  97.67 |  97.65 |  95.03 |  99.04 |  96.06
|  hi |  72.34 |  69.07 |  70.24 |  86.17 |  74.02 |  72.42 |  99.33 |  99.18 |  99.16 |  90.8 |  96.84 |  92.54
|  gu |  80.47 |  79.13 |  79.21 |  79.21 |  98.07 |  92.71 |  99.73 |  99.48 |  99.6 |  95.7 |  87.34 |  95.6
|  bn |  85.08 |  82.98 |  83.32 |  81.14 |  96.9 |  98.74 |  99.6 |  99.29 |  99.29 |  91.91 |  96.35 |  91.89
ML |  en |  71.92 |  67.64 |  66.97 |  64.88 |  59.77 |  64.38 |  98.39 |  98.28 |  98.18 |  99.04 |  87.3 |  98.41
|  fr |  67.81 |  72.76 |  65.97 |  65.55 |  59.43 |  64.54 |  98.49 |  98.22 |  98.18 |  98.99 |  87.72 |  98.45
|  es |  69.07 |  70.08 |  71.33 |  65.72 |  62.53 |  67.31 |  98.45 |  98.28 |  97.86 |  98.95 |  87.74 |  98.58
|  hi |  64.29 |  64.04 |  60.6 |  75.94 |  62.36 |  65.63 |  99.5 |  99.62 |  99.29 |  95.68 |  82.92 |  94.87
|  gu |  63.96 |  68.23 |  63.79 |  65.8 |  67.98 |  80.64 |  99.75 |  99.79 |  99.56 |  95.22 |  74.81 |  93.53
|  bn |  62.2 |  65.13 |  60.94 |  64.12 |  58.26 |  73.6 |  99.52 |  99.56 |  99.45 |  97.17 |  83.28 |  93.55
LL |  en |  84.49 |  82.06 |  82.56 |  67.9 |  80.3 |  66.39 |  97.95 |  97.4 |  97.92 |  97.8 |  89.54 |  96.14
|  fr |  86.59 |  87.17 |  85.41 |  69.66 |  81.56 |  68.06 |  97.95 |  96.63 |  97.53 |  97.69 |  89.38 |  96.33
|  es |  85.33 |  82.73 |  85.75 |  69.15 |  81.89 |  68.73 |  98.09 |  97.09 |  97.15 |  97.44 |  88.81 |  96.1
|  hi |  89.44 |  88.43 |  88.01 |  78.62 |  88.85 |  79.21 |  99.39 |  99.1 |  99.18 |  94.95 |  82.56 |  92.27
|  gu |  92.04 |  90.53 |  90.61 |  72.59 |  93.63 |  73.18 |  99.96 |  100.0 |  99.98 |  96.14 |  77.52 |  92.31
|  bn |  93.63 |  92.62 |  93.46 |  76.53 |  96.73 |  77.54 |  99.58 |  99.41 |  99.5 |  95.2 |  80.68 |  89.29
RL |  en |  85.25 |  83.32 |  82.98 |  76.61 |  86.34 |  86.17 |  98.16 |  98.99 |  99.22 |  99.73 |  98.28 |  99.87
|  fr |  81.98 |  87.09 |  85.08 |  76.87 |  86.59 |  86.42 |  98.11 |  98.68 |  99.16 |  99.73 |  98.28 |  99.79
|  es |  81.56 |  84.66 |  87.43 |  76.11 |  85.67 |  86.08 |  98.39 |  99.1 |  99.12 |  99.71 |  98.47 |  99.77
|  hi |  72.09 |  73.6 |  73.34 |  83.24 |  79.8 |  79.63 |  99.71 |  99.85 |  99.89 |  99.37 |  98.09 |  99.5
|  gu |  79.13 |  82.56 |  81.06 |  77.54 |  92.88 |  92.2 |  100.0 |  99.96 |  100.0 |  99.92 |  89.42 |  99.77
|  bn |  78.37 |  81.98 |  80.81 |  76.19 |  90.44 |  91.11 |  99.92 |  99.94 |  99.98 |  99.77 |  98.49 |  99.39

Table 55:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned BLOOM on the fever ‘en’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  96.9 |  82.65 |  85.08 |  56.16 |  64.96 |  58.34 |  99.94 |  99.96 |  99.96 |  99.87 |  94.59 |  99.62
|  fr |  84.24 |  95.22 |  86.5 |  56.24 |  65.13 |  58.51 |  99.96 |  99.96 |  99.96 |  99.87 |  94.7 |  99.67
|  es |  85.41 |  85.67 |  95.56 |  55.83 |  64.8 |  59.43 |  99.96 |  99.98 |  99.94 |  99.89 |  94.72 |  99.62
|  hi |  54.57 |  53.9 |  54.15 |  94.8 |  63.62 |  69.49 |  99.98 |  99.98 |  99.98 |  99.77 |  93.92 |  99.39
|  gu |  52.22 |  52.22 |  52.22 |  56.66 |  70.24 |  65.46 |  100.0 |  100.0 |  100.0 |  99.67 |  92.9 |  98.91
|  bn |  52.22 |  52.14 |  52.22 |  60.35 |  65.05 |  96.48 |  100.0 |  100.0 |  100.0 |  99.69 |  92.75 |  97.84
ML |  en |  98.16 |  91.95 |  94.05 |  66.55 |  57.84 |  80.05 |  98.64 |  99.31 |  99.41 |  97.8 |  94.22 |  94.01
|  fr |  94.64 |  95.89 |  94.8 |  68.15 |  58.17 |  81.39 |  99.08 |  99.16 |  99.37 |  97.72 |  94.19 |  93.9
|  es |  94.22 |  93.46 |  98.41 |  68.9 |  57.92 |  81.22 |  99.18 |  99.29 |  99.27 |  97.46 |  94.17 |  93.42
|  hi |  62.53 |  60.35 |  61.19 |  97.32 |  58.51 |  92.12 |  99.92 |  99.85 |  99.87 |  77.01 |  91.37 |  85.75
|  gu |  54.32 |  54.4 |  54.65 |  76.45 |  63.7 |  88.35 |  100.0 |  99.96 |  100.0 |  96.96 |  88.22 |  95.91
|  bn |  58.51 |  56.92 |  57.67 |  85.75 |  58.34 |  95.81 |  99.98 |  99.85 |  99.94 |  84.51 |  90.21 |  83.09
LL |  en |  88.01 |  78.62 |  79.63 |  48.45 |  48.95 |  52.39 |  96.84 |  98.89 |  98.66 |  96.98 |  98.78 |  96.56
|  fr |  77.45 |  84.07 |  79.04 |  48.37 |  48.87 |  52.3 |  98.01 |  97.72 |  98.39 |  97.11 |  98.81 |  96.56
|  es |  79.46 |  78.79 |  83.24 |  48.37 |  48.87 |  52.05 |  98.11 |  98.66 |  98.32 |  97.11 |  98.78 |  96.58
|  hi |  53.48 |  53.98 |  53.56 |  72.92 |  52.05 |  71.42 |  100.0 |  100.0 |  99.98 |  71.98 |  95.45 |  82.08
|  gu |  52.81 |  52.98 |  52.56 |  50.13 |  62.36 |  57.5 |  100.0 |  100.0 |  100.0 |  92.5 |  83.53 |  91.28
|  bn |  52.47 |  52.98 |  52.47 |  59.85 |  51.05 |  71.33 |  100.0 |  100.0 |  100.0 |  83.17 |  95.96 |  79.9
RL |  en |  60.94 |  52.47 |  52.22 |  56.08 |  48.28 |  56.08 |  96.88 |  97.9 |  98.05 |  98.62 |  97.19 |  97.86
|  fr |  52.56 |  59.93 |  52.72 |  55.32 |  48.28 |  55.91 |  96.88 |  97.74 |  98.05 |  98.53 |  97.09 |  97.92
|  es |  52.89 |  53.65 |  59.93 |  54.48 |  48.28 |  56.33 |  96.9 |  97.8 |  98.01 |  98.51 |  97.11 |  97.84
|  hi |  52.05 |  52.05 |  51.97 |  77.62 |  48.62 |  67.39 |  99.56 |  99.62 |  99.83 |  93.75 |  96.5 |  93.92
|  gu |  52.05 |  52.05 |  51.97 |  58.76 |  62.61 |  56.33 |  99.98 |  99.98 |  99.96 |  97.42 |  88.6 |  97.57
|  bn |  52.05 |  52.05 |  51.97 |  71.0 |  48.37 |  75.36 |  99.85 |  99.73 |  99.85 |  94.49 |  96.02 |  92.37

Table 56:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned BLOOM on the fever ‘fr’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  98.83 |  89.44 |  86.92 |  78.21 |  50.96 |  79.04 |  99.39 |  99.64 |  99.81 |  94.91 |  95.03 |  93.71
|  fr |  90.78 |  97.82 |  89.1 |  77.45 |  50.88 |  78.04 |  99.79 |  99.2 |  99.87 |  95.05 |  95.01 |  93.82
|  es |  88.68 |  89.77 |  96.9 |  74.77 |  50.96 |  74.94 |  99.83 |  99.64 |  99.75 |  96.02 |  95.77 |  94.87
|  hi |  57.08 |  55.99 |  54.99 |  97.07 |  51.21 |  90.28 |  99.94 |  99.89 |  99.94 |  87.64 |  88.77 |  86.78
|  gu |  52.56 |  52.3 |  52.3 |  78.21 |  63.12 |  80.97 |  100.0 |  99.96 |  100.0 |  98.95 |  84.14 |  97.92
|  bn |  52.89 |  52.64 |  52.47 |  88.77 |  52.39 |  93.38 |  99.98 |  99.92 |  99.98 |  90.09 |  86.97 |  85.71
ML |  en |  96.31 |  87.09 |  88.85 |  62.03 |  64.46 |  57.92 |  99.87 |  99.96 |  99.89 |  99.94 |  99.22 |  100.0
|  fr |  90.36 |  94.8 |  90.78 |  62.45 |  65.38 |  58.59 |  99.85 |  99.89 |  99.87 |  99.92 |  99.2 |  100.0
|  es |  90.95 |  91.37 |  95.47 |  64.46 |  65.88 |  59.18 |  99.83 |  99.87 |  99.81 |  99.92 |  99.31 |  100.0
|  hi |  59.43 |  57.67 |  58.59 |  93.46 |  83.82 |  71.84 |  99.98 |  99.96 |  99.98 |  98.78 |  94.64 |  99.71
|  gu |  53.23 |  52.81 |  53.14 |  64.21 |  96.9 |  65.13 |  100.0 |  100.0 |  100.0 |  99.6 |  77.95 |  99.77
|  bn |  56.24 |  55.83 |  56.08 |  72.92 |  81.81 |  90.78 |  100.0 |  99.98 |  100.0 |  99.58 |  95.7 |  99.56
LL |  en |  94.47 |  86.08 |  84.91 |  62.78 |  63.2 |  67.98 |  93.57 |  97.07 |  96.88 |  90.36 |  96.1 |  82.78
|  fr |  86.5 |  92.88 |  87.51 |  63.96 |  63.37 |  68.06 |  95.03 |  95.05 |  96.84 |  90.36 |  96.25 |  82.94
|  es |  87.76 |  89.69 |  93.55 |  63.96 |  63.62 |  67.64 |  95.03 |  97.09 |  95.24 |  90.4 |  95.85 |  82.56
|  hi |  56.08 |  55.57 |  55.41 |  88.52 |  64.29 |  75.11 |  98.37 |  96.56 |  94.91 |  63.08 |  96.77 |  80.66
|  gu |  52.72 |  52.98 |  52.89 |  58.76 |  69.49 |  69.41 |  98.49 |  96.65 |  95.12 |  83.8 |  81.77 |  86.0
|  bn |  53.48 |  53.9 |  53.73 |  70.83 |  66.14 |  83.4 |  97.23 |  96.9 |  95.62 |  75.75 |  94.82 |  77.56
RL |  en |  53.73 |  61.61 |  52.56 |  48.2 |  48.2 |  48.28 |  99.2 |  99.6 |  99.45 |  98.49 |  94.45 |  95.52
|  fr |  52.81 |  68.23 |  52.56 |  48.2 |  48.2 |  48.11 |  99.41 |  99.5 |  99.43 |  98.53 |  94.49 |  95.56
|  es |  52.56 |  59.68 |  52.81 |  48.11 |  48.2 |  48.37 |  99.29 |  99.5 |  99.29 |  98.45 |  94.47 |  95.52
|  hi |  51.89 |  52.05 |  52.05 |  66.22 |  48.28 |  60.18 |  99.79 |  99.94 |  99.83 |  95.03 |  93.9 |  93.31
|  gu |  51.97 |  52.05 |  52.05 |  48.79 |  62.53 |  50.54 |  99.96 |  100.0 |  100.0 |  98.72 |  90.3 |  94.43
|  bn |  52.05 |  52.14 |  52.05 |  52.56 |  48.28 |  74.6 |  99.94 |  99.96 |  100.0 |  93.82 |  91.72 |  89.98

Table 57:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned BLOOM on the fever ‘es’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  89.61 |  83.82 |  84.33 |  76.53 |  83.49 |  82.23 |  85.12 |  83.53 |  83.57 |  95.77 |  89.59 |  87.66
|  fr |  85.16 |  89.77 |  85.25 |  77.28 |  83.57 |  82.73 |  85.0 |  78.67 |  79.92 |  93.92 |  85.02 |  85.6
|  es |  85.92 |  84.66 |  89.44 |  76.45 |  83.4 |  82.15 |  85.41 |  79.48 |  78.69 |  93.25 |  84.62 |  85.25
|  hi |  72.34 |  69.07 |  70.24 |  86.17 |  74.02 |  72.42 |  92.18 |  86.86 |  86.92 |  85.44 |  80.41 |  82.04
|  gu |  80.47 |  79.13 |  79.21 |  79.21 |  98.07 |  92.71 |  90.3 |  82.44 |  82.1 |  88.89 |  62.39 |  67.31
|  bn |  85.08 |  82.98 |  83.32 |  81.14 |  96.9 |  98.74 |  89.73 |  81.73 |  81.89 |  85.94 |  67.06 |  69.53
ML |  en |  71.92 |  67.64 |  66.97 |  64.88 |  59.77 |  64.38 |  58.4 |  58.51 |  59.43 |  55.49 |  53.77 |  54.61
|  fr |  67.81 |  72.76 |  65.97 |  65.55 |  59.43 |  64.54 |  58.3 |  58.51 |  59.37 |  55.47 |  53.73 |  54.51
|  es |  69.07 |  70.08 |  71.33 |  65.72 |  62.53 |  67.31 |  58.26 |  58.47 |  59.33 |  55.45 |  53.71 |  54.48
|  hi |  64.29 |  64.04 |  60.6 |  75.94 |  62.36 |  65.63 |  58.3 |  58.55 |  59.51 |  55.18 |  53.6 |  54.3
|  gu |  63.96 |  68.23 |  63.79 |  65.8 |  67.98 |  80.64 |  58.3 |  58.45 |  59.28 |  55.22 |  53.5 |  54.21
|  bn |  62.2 |  65.13 |  60.94 |  64.12 |  58.26 |  73.6 |  58.21 |  58.4 |  59.24 |  55.2 |  53.5 |  54.19
LL |  en |  84.49 |  82.06 |  82.56 |  67.9 |  80.3 |  66.39 |  87.39 |  83.49 |  83.97 |  85.06 |  75.44 |  75.4
|  fr |  86.59 |  87.17 |  85.41 |  69.66 |  81.56 |  68.06 |  87.59 |  80.36 |  80.43 |  81.94 |  68.34 |  70.33
|  es |  85.33 |  82.73 |  85.75 |  69.15 |  81.89 |  68.73 |  87.91 |  80.83 |  80.85 |  83.86 |  68.5 |  71.63
|  hi |  89.44 |  88.43 |  88.01 |  78.62 |  88.85 |  79.21 |  93.0 |  88.2 |  87.36 |  76.87 |  81.29 |  77.81
|  gu |  92.04 |  90.53 |  90.61 |  72.59 |  93.63 |  73.18 |  91.11 |  81.85 |  81.16 |  86.55 |  59.79 |  67.0
|  bn |  93.63 |  92.62 |  93.46 |  76.53 |  96.73 |  77.54 |  93.02 |  85.5 |  85.71 |  81.39 |  73.62 |  74.27
RL |  en |  85.25 |  83.32 |  82.98 |  76.61 |  86.34 |  86.17 |  54.61 |  54.34 |  54.84 |  53.69 |  53.48 |  53.54
|  fr |  81.98 |  87.09 |  85.08 |  76.87 |  86.59 |  86.42 |  54.34 |  54.13 |  54.46 |  53.31 |  52.85 |  52.95
|  es |  81.56 |  84.66 |  87.43 |  76.11 |  85.67 |  86.08 |  54.36 |  54.13 |  54.46 |  53.21 |  52.89 |  52.95
|  hi |  72.09 |  73.6 |  73.34 |  83.24 |  79.8 |  79.63 |  54.67 |  54.38 |  55.18 |  53.69 |  53.08 |  53.16
|  gu |  79.13 |  82.56 |  81.06 |  77.54 |  92.88 |  92.2 |  54.55 |  54.06 |  54.67 |  53.12 |  52.49 |  52.47
|  bn |  78.37 |  81.98 |  80.81 |  76.19 |  90.44 |  91.11 |  54.59 |  54.25 |  54.86 |  53.44 |  52.66 |  52.62

Table 58:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned BLOOM on the fever ‘hi’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  67.73 |  65.88 |  65.3 |  53.65 |  48.7 |  48.87 |  89.86 |  92.14 |  93.46 |  99.75 |  99.96 |  100.0
|  fr |  63.79 |  67.14 |  66.39 |  52.89 |  48.45 |  48.45 |  91.11 |  91.28 |  93.15 |  99.75 |  99.96 |  100.0
|  es |  62.78 |  64.88 |  65.3 |  54.15 |  48.53 |  48.95 |  90.91 |  91.72 |  92.1 |  99.75 |  99.96 |  100.0
|  hi |  52.14 |  52.05 |  52.14 |  95.81 |  53.65 |  63.87 |  95.43 |  95.16 |  95.52 |  95.96 |  99.77 |  99.58
|  gu |  52.05 |  52.05 |  51.89 |  59.6 |  93.97 |  59.68 |  96.5 |  96.46 |  96.67 |  98.89 |  99.43 |  99.81
|  bn |  51.97 |  52.05 |  51.8 |  67.9 |  54.32 |  95.73 |  95.47 |  95.41 |  96.1 |  97.72 |  99.75 |  99.41
ML |  en |  82.06 |  78.29 |  78.04 |  48.37 |  47.95 |  48.28 |  87.24 |  89.98 |  90.17 |  99.98 |  100.0 |  100.0
|  fr |  76.7 |  78.88 |  76.95 |  48.2 |  47.95 |  48.28 |  86.25 |  84.54 |  87.15 |  99.98 |  100.0 |  99.98
|  es |  78.29 |  77.54 |  81.22 |  48.37 |  47.95 |  48.37 |  86.36 |  86.99 |  86.23 |  99.98 |  100.0 |  100.0
|  hi |  66.05 |  59.09 |  60.6 |  77.45 |  49.04 |  55.41 |  95.66 |  97.74 |  97.42 |  99.73 |  100.0 |  99.67
|  gu |  63.54 |  56.92 |  58.42 |  53.23 |  80.3 |  54.32 |  95.28 |  97.59 |  97.44 |  99.67 |  99.79 |  99.64
|  bn |  63.96 |  58.26 |  59.26 |  52.05 |  48.87 |  78.54 |  96.92 |  97.99 |  98.16 |  99.92 |  100.0 |  99.31
LL |  en |  75.61 |  74.77 |  74.1 |  49.2 |  51.47 |  49.12 |  87.03 |  88.58 |  87.85 |  100.0 |  99.67 |  100.0
|  fr |  73.34 |  75.36 |  73.93 |  49.12 |  51.3 |  49.29 |  87.97 |  87.89 |  87.76 |  100.0 |  99.67 |  100.0
|  es |  76.87 |  76.45 |  78.29 |  49.29 |  51.97 |  49.29 |  88.33 |  89.06 |  88.45 |  100.0 |  99.71 |  100.0
|  hi |  68.9 |  68.31 |  69.49 |  72.25 |  60.1 |  55.83 |  91.51 |  92.02 |  91.95 |  99.73 |  98.32 |  99.75
|  gu |  67.31 |  66.89 |  67.31 |  53.48 |  75.69 |  57.25 |  91.66 |  92.31 |  92.1 |  99.89 |  96.71 |  99.54
|  bn |  67.39 |  66.64 |  67.56 |  54.48 |  63.7 |  69.66 |  90.88 |  92.1 |  91.64 |  99.89 |  97.15 |  99.58
RL |  en |  91.79 |  85.16 |  87.01 |  49.87 |  48.62 |  48.45 |  88.81 |  90.86 |  90.74 |  99.85 |  99.77 |  100.0
|  fr |  87.59 |  88.52 |  86.34 |  50.04 |  48.45 |  48.03 |  90.28 |  90.8 |  90.86 |  99.85 |  99.75 |  100.0
|  es |  88.18 |  85.92 |  89.69 |  50.21 |  48.87 |  48.53 |  90.4 |  91.18 |  90.46 |  99.85 |  99.79 |  100.0
|  hi |  86.92 |  82.9 |  82.23 |  87.93 |  54.57 |  56.66 |  90.46 |  91.79 |  92.1 |  99.41 |  99.29 |  99.75
|  gu |  81.39 |  76.36 |  75.94 |  52.98 |  88.85 |  52.64 |  91.18 |  92.69 |  92.83 |  99.75 |  99.2 |  99.98
|  bn |  84.41 |  79.88 |  78.96 |  54.99 |  54.82 |  85.67 |  90.36 |  91.85 |  92.0 |  99.56 |  99.33 |  99.73

Table 59:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned BLOOM on the fever ‘gu’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  63.45 |  60.94 |  61.78 |  59.85 |  52.72 |  52.81 |  89.67 |  89.38 |  90.28 |  99.79 |  100.0 |  99.98
|  fr |  63.12 |  64.88 |  64.04 |  59.18 |  52.56 |  52.64 |  90.78 |  86.94 |  89.29 |  99.81 |  100.0 |  99.98
|  es |  63.62 |  63.37 |  64.96 |  59.77 |  52.72 |  52.72 |  90.97 |  88.33 |  87.78 |  99.81 |  100.0 |  99.98
|  hi |  49.79 |  49.12 |  49.37 |  98.24 |  59.26 |  60.27 |  95.35 |  94.8 |  94.99 |  91.34 |  99.85 |  99.73
|  gu |  49.62 |  48.95 |  49.29 |  69.41 |  97.82 |  60.35 |  97.05 |  96.46 |  96.29 |  97.88 |  96.75 |  99.87
|  bn |  49.71 |  48.95 |  49.29 |  72.67 |  60.94 |  96.81 |  97.09 |  96.71 |  96.65 |  97.38 |  99.87 |  99.69
ML |  en |  94.89 |  87.34 |  88.35 |  51.63 |  48.2 |  49.62 |  99.31 |  98.51 |  98.83 |  99.98 |  100.0 |  99.92
|  fr |  85.33 |  93.97 |  89.44 |  50.38 |  48.03 |  48.95 |  99.54 |  97.86 |  98.34 |  99.98 |  100.0 |  99.96
|  es |  84.49 |  89.61 |  94.55 |  50.21 |  48.2 |  49.29 |  99.64 |  98.41 |  97.82 |  99.98 |  100.0 |  99.96
|  hi |  57.59 |  57.17 |  58.68 |  89.77 |  49.87 |  56.24 |  99.81 |  99.22 |  99.14 |  99.85 |  100.0 |  99.87
|  gu |  50.46 |  51.55 |  51.55 |  52.3 |  81.89 |  52.39 |  99.96 |  99.58 |  99.52 |  99.96 |  99.71 |  99.89
|  bn |  54.9 |  55.32 |  55.83 |  56.58 |  51.3 |  90.53 |  99.92 |  99.25 |  99.29 |  99.92 |  100.0 |  99.85
LL |  en |  92.2 |  86.59 |  87.09 |  57.59 |  52.81 |  55.32 |  97.15 |  97.69 |  97.25 |  99.85 |  99.96 |  99.67
|  fr |  86.08 |  91.62 |  87.93 |  55.91 |  52.64 |  53.98 |  97.34 |  97.69 |  97.0 |  99.98 |  99.94 |  99.64
|  es |  86.08 |  86.76 |  91.2 |  56.24 |  52.3 |  54.32 |  97.4 |  97.76 |  96.92 |  99.94 |  99.96 |  99.62
|  hi |  67.31 |  65.63 |  65.97 |  87.76 |  58.59 |  62.45 |  97.23 |  97.8 |  97.36 |  99.58 |  99.87 |  99.5
|  gu |  60.94 |  60.27 |  59.77 |  58.76 |  84.58 |  58.42 |  97.3 |  97.86 |  97.38 |  99.6 |  99.62 |  99.37
|  bn |  64.63 |  62.03 |  63.87 |  62.45 |  58.17 |  85.0 |  97.17 |  97.84 |  97.28 |  99.48 |  99.73 |  99.43
RL |  en |  78.37 |  71.42 |  72.59 |  47.95 |  47.95 |  47.95 |  92.69 |  94.66 |  94.19 |  99.98 |  100.0 |  100.0
|  fr |  66.72 |  77.62 |  74.77 |  48.03 |  47.95 |  47.95 |  92.9 |  89.59 |  91.16 |  100.0 |  100.0 |  100.0
|  es |  66.47 |  72.67 |  78.96 |  48.03 |  47.95 |  47.95 |  93.71 |  91.79 |  89.88 |  100.0 |  100.0 |  100.0
|  hi |  58.93 |  59.26 |  60.44 |  66.55 |  48.62 |  49.04 |  94.45 |  94.68 |  93.73 |  99.92 |  99.96 |  99.94
|  gu |  53.4 |  56.92 |  58.93 |  48.45 |  65.72 |  48.62 |  96.73 |  96.73 |  95.79 |  99.94 |  98.91 |  99.92
|  bn |  56.75 |  58.34 |  60.02 |  49.54 |  48.87 |  65.97 |  95.39 |  95.6 |  95.2 |  99.89 |  99.89 |  99.79

Table 60:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned BLOOM on the fever ‘bn’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  71.84 |  69.07 |  69.57 |  65.72 |  68.57 |  63.29 |  85.69 |  84.47 |  86.78 |  86.99 |  82.9 |  85.86
|  fr |  65.46 |  67.73 |  66.22 |  63.12 |  65.38 |  62.61 |  88.98 |  88.06 |  90.13 |  90.03 |  86.27 |  88.96
|  es |  65.72 |  66.14 |  69.99 |  64.38 |  65.05 |  62.53 |  87.43 |  86.65 |  88.31 |  88.66 |  85.94 |  87.36
|  hi |  64.04 |  64.88 |  64.54 |  71.42 |  65.55 |  63.87 |  91.14 |  88.89 |  91.26 |  91.91 |  88.79 |  90.19
|  gu |  62.95 |  62.7 |  61.69 |  63.54 |  68.23 |  61.02 |  87.51 |  85.86 |  88.16 |  88.62 |  84.77 |  87.39
|  bn |  62.45 |  62.61 |  62.61 |  62.53 |  64.54 |  67.22 |  90.46 |  89.56 |  90.78 |  91.09 |  89.04 |  89.31
ML |  en |  83.07 |  80.05 |  80.64 |  70.41 |  74.18 |  69.15 |  78.88 |  76.76 |  77.03 |  78.96 |  74.79 |  78.46
|  fr |  81.73 |  86.92 |  82.23 |  70.91 |  77.54 |  72.09 |  75.94 |  73.39 |  74.39 |  77.77 |  71.58 |  76.36
|  es |  81.73 |  82.73 |  84.58 |  70.16 |  76.87 |  70.83 |  78.29 |  76.89 |  77.6 |  80.36 |  75.71 |  79.19
|  hi |  73.93 |  74.02 |  73.6 |  83.49 |  74.6 |  72.25 |  77.2 |  76.59 |  76.93 |  78.16 |  75.71 |  77.91
|  gu |  76.36 |  78.21 |  76.7 |  72.17 |  86.08 |  73.51 |  75.48 |  72.23 |  73.55 |  76.91 |  68.99 |  76.45
|  bn |  74.85 |  77.03 |  75.52 |  72.92 |  76.53 |  82.82 |  75.55 |  74.33 |  75.29 |  78.14 |  72.92 |  77.22
LL |  en |  76.45 |  74.6 |  76.7 |  67.73 |  69.15 |  64.12 |  80.01 |  81.03 |  80.01 |  83.26 |  83.86 |  85.08
|  fr |  78.62 |  79.21 |  77.37 |  68.82 |  71.17 |  64.71 |  79.06 |  79.23 |  79.09 |  81.92 |  82.56 |  84.09
|  es |  73.51 |  73.68 |  76.28 |  64.8 |  66.64 |  61.53 |  81.22 |  81.6 |  80.89 |  84.87 |  85.35 |  86.19
|  hi |  76.03 |  75.44 |  76.87 |  69.49 |  70.33 |  64.8 |  72.59 |  73.39 |  72.86 |  75.42 |  75.23 |  77.75
|  gu |  80.55 |  78.79 |  80.55 |  70.91 |  74.77 |  67.73 |  74.2 |  74.81 |  74.56 |  77.6 |  77.14 |  79.48
|  bn |  81.22 |  80.13 |  79.46 |  71.84 |  73.68 |  68.57 |  69.7 |  70.28 |  70.1 |  72.21 |  71.71 |  74.33
RL |  en |  50.29 |  50.13 |  50.54 |  51.8 |  49.29 |  50.88 |  98.45 |  98.49 |  98.09 |  97.36 |  98.81 |  97.86
|  fr |  50.13 |  50.54 |  50.96 |  51.55 |  49.29 |  51.13 |  98.47 |  98.53 |  98.16 |  97.32 |  98.81 |  97.84
|  es |  50.38 |  50.71 |  50.88 |  51.63 |  49.37 |  50.63 |  98.43 |  98.45 |  98.22 |  97.25 |  98.7 |  97.92
|  hi |  50.21 |  50.29 |  50.96 |  52.14 |  49.2 |  51.21 |  98.43 |  98.51 |  98.16 |  97.17 |  98.72 |  97.92
|  gu |  50.38 |  50.21 |  51.21 |  51.38 |  49.71 |  50.88 |  98.43 |  98.53 |  98.13 |  97.28 |  98.7 |  97.95
|  bn |  49.87 |  50.38 |  51.05 |  51.21 |  49.45 |  51.3 |  98.3 |  98.43 |  98.13 |  97.09 |  98.6 |  97.8

Table 61:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned BLOOM on the fever ‘mixed’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  68.23 |  65.38 |  64.04 |  63.79 |  60.86 |  62.03 |  93.75 |  93.23 |  94.22 |  93.82 |  93.92 |  92.6
|  fr |  66.64 |  70.91 |  66.05 |  65.05 |  62.78 |  62.95 |  92.2 |  92.85 |  93.48 |  92.83 |  93.34 |  92.52
|  es |  67.56 |  66.81 |  70.83 |  65.21 |  63.2 |  63.79 |  92.1 |  92.37 |  93.31 |  92.69 |  92.46 |  92.64
|  hi |  67.06 |  66.89 |  66.55 |  72.51 |  65.72 |  64.88 |  89.63 |  90.44 |  91.62 |  90.86 |  90.61 |  90.67
|  gu |  65.8 |  65.8 |  63.87 |  66.14 |  71.5 |  65.21 |  92.58 |  92.85 |  93.25 |  92.81 |  92.79 |  93.15
|  bn |  66.81 |  67.31 |  65.97 |  68.23 |  65.63 |  73.18 |  91.14 |  91.58 |  93.0 |  91.47 |  92.12 |  91.01
ML |  en |  68.73 |  66.39 |  64.04 |  59.68 |  61.61 |  56.5 |  89.67 |  90.23 |  91.37 |  90.78 |  90.05 |  90.65
|  fr |  65.97 |  70.66 |  64.46 |  59.68 |  61.61 |  56.33 |  89.82 |  90.15 |  91.45 |  91.16 |  90.84 |  91.09
|  es |  66.72 |  68.23 |  69.24 |  59.51 |  62.61 |  57.33 |  89.04 |  89.17 |  90.36 |  89.82 |  89.42 |  90.3
|  hi |  66.72 |  68.82 |  63.7 |  65.13 |  64.21 |  59.09 |  87.32 |  87.7 |  89.71 |  88.18 |  88.1 |  87.8
|  gu |  64.88 |  66.47 |  63.45 |  60.77 |  66.55 |  58.09 |  88.6 |  88.85 |  90.88 |  89.46 |  89.4 |  89.21
|  bn |  66.3 |  67.06 |  63.37 |  62.87 |  64.46 |  61.86 |  86.55 |  86.94 |  89.06 |  86.94 |  86.88 |  86.5
LL |  en |  84.83 |  79.8 |  79.13 |  81.73 |  81.47 |  85.75 |  82.25 |  82.65 |  83.51 |  83.17 |  83.76 |  80.55
|  fr |  83.57 |  83.99 |  80.64 |  82.06 |  80.39 |  85.67 |  83.97 |  84.39 |  84.97 |  84.09 |  85.65 |  82.63
|  es |  83.24 |  80.13 |  84.49 |  81.98 |  80.89 |  87.01 |  81.18 |  81.56 |  82.71 |  82.23 |  83.15 |  79.9
|  hi |  79.88 |  78.21 |  78.62 |  86.42 |  78.37 |  84.07 |  89.19 |  89.31 |  89.8 |  88.94 |  90.3 |  87.68
|  gu |  83.07 |  81.14 |  80.05 |  82.56 |  85.16 |  87.01 |  84.95 |  85.62 |  85.79 |  85.27 |  86.17 |  83.76
|  bn |  79.72 |  77.2 |  78.04 |  80.13 |  78.46 |  89.44 |  89.96 |  90.09 |  90.55 |  88.87 |  90.53 |  87.74
RL |  en |  71.75 |  70.58 |  69.07 |  63.37 |  65.55 |  59.85 |  91.81 |  91.3 |  92.46 |  92.22 |  91.01 |  91.76
|  fr |  71.25 |  75.52 |  69.91 |  63.45 |  65.05 |  58.68 |  92.22 |  91.74 |  92.58 |  92.9 |  91.97 |  92.33
|  es |  71.67 |  72.25 |  73.34 |  62.53 |  65.55 |  59.93 |  90.09 |  90.19 |  90.91 |  91.34 |  90.4 |  90.97
|  hi |  69.32 |  70.49 |  68.57 |  68.48 |  66.81 |  61.44 |  92.1 |  92.52 |  93.36 |  91.68 |  91.51 |  92.25
|  gu |  67.73 |  69.32 |  67.64 |  64.29 |  69.49 |  60.44 |  92.12 |  91.85 |  93.19 |  91.76 |  91.22 |  91.81
|  bn |  69.57 |  70.33 |  67.9 |  66.05 |  67.31 |  65.63 |  91.22 |  91.7 |  92.71 |  90.46 |  91.11 |  90.76

Table 62:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned BLOOM on the fever ‘inverse’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  98.49 |  90.7 |  90.61 |  69.32 |  60.6 |  63.62 |  99.71 |  98.26 |  98.87 |  89.1 |  90.55 |  89.59
|  fr |  87.26 |  98.24 |  93.38 |  71.67 |  61.69 |  64.71 |  99.79 |  97.3 |  98.26 |  87.89 |  89.56 |  88.5
|  es |  86.59 |  93.13 |  98.49 |  70.91 |  61.27 |  64.12 |  99.73 |  97.8 |  98.2 |  88.03 |  90.05 |  88.81
|  hi |  54.48 |  56.33 |  57.25 |  92.96 |  70.83 |  72.09 |  99.89 |  98.45 |  98.81 |  79.59 |  84.05 |  84.14
|  gu |  52.3 |  52.81 |  53.06 |  72.76 |  91.45 |  76.11 |  99.96 |  99.06 |  99.39 |  84.81 |  78.77 |  82.02
|  bn |  52.3 |  53.06 |  53.06 |  74.27 |  73.51 |  92.04 |  99.98 |  99.08 |  99.1 |  84.91 |  82.65 |  81.06
ML |  en |  91.11 |  91.62 |  92.37 |  77.03 |  69.99 |  77.95 |  99.2 |  93.8 |  93.71 |  87.39 |  82.63 |  82.84
|  fr |  73.51 |  97.82 |  95.64 |  78.96 |  71.5 |  80.13 |  99.69 |  93.23 |  93.88 |  87.34 |  82.27 |  83.05
|  es |  73.68 |  94.22 |  97.32 |  80.22 |  71.0 |  80.47 |  99.73 |  94.26 |  93.8 |  86.46 |  81.52 |  82.27
|  hi |  54.57 |  68.9 |  69.91 |  96.23 |  77.28 |  89.44 |  99.81 |  95.2 |  94.99 |  71.69 |  74.58 |  71.14
|  gu |  52.22 |  58.42 |  59.68 |  78.21 |  88.1 |  80.72 |  99.89 |  96.38 |  96.35 |  79.82 |  75.69 |  77.79
|  bn |  53.56 |  65.13 |  66.22 |  87.51 |  78.21 |  93.21 |  99.89 |  94.64 |  94.99 |  75.06 |  74.96 |  69.82
LL |  en |  92.29 |  89.02 |  92.79 |  69.91 |  63.87 |  69.41 |  99.64 |  99.64 |  99.64 |  99.64 |  99.64 |  99.64
|  fr |  53.98 |  92.37 |  73.18 |  59.18 |  55.32 |  58.09 |  99.96 |  99.96 |  99.96 |  99.96 |  99.96 |  99.96
|  es |  55.74 |  68.15 |  91.11 |  63.96 |  59.18 |  60.02 |  99.96 |  99.96 |  99.96 |  99.96 |  99.96 |  99.96
|  hi |  52.47 |  53.81 |  54.48 |  92.12 |  67.14 |  67.39 |  99.96 |  99.96 |  99.96 |  99.96 |  99.96 |  99.96
|  gu |  52.05 |  52.47 |  52.47 |  63.29 |  92.12 |  64.04 |  99.98 |  99.98 |  99.98 |  99.98 |  99.98 |  99.98
|  bn |  52.14 |  52.98 |  53.4 |  67.73 |  68.48 |  92.54 |  99.98 |  99.98 |  99.98 |  99.98 |  99.98 |  99.98
RL |  en |  98.16 |  93.71 |  94.47 |  79.38 |  78.21 |  71.5 |  99.16 |  84.14 |  87.87 |  80.24 |  74.54 |  85.48
|  fr |  82.23 |  97.74 |  95.81 |  79.55 |  79.8 |  72.92 |  99.35 |  72.46 |  81.16 |  79.88 |  73.6 |  84.24
|  es |  83.4 |  95.47 |  97.32 |  81.06 |  81.14 |  74.77 |  99.35 |  76.24 |  79.76 |  78.88 |  72.09 |  82.67
|  hi |  54.74 |  77.28 |  73.18 |  95.81 |  87.26 |  90.95 |  99.45 |  83.28 |  86.4 |  64.96 |  65.23 |  69.15
|  gu |  52.89 |  69.66 |  66.97 |  84.91 |  91.2 |  87.17 |  99.54 |  85.52 |  87.91 |  69.66 |  67.67 |  71.29
|  bn |  53.06 |  73.76 |  70.16 |  90.7 |  87.51 |  97.48 |  99.33 |  83.21 |  86.06 |  66.32 |  64.75 |  65.91

Table 63:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned mBERT on the fever ‘en’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  95.22 |  81.22 |  80.05 |  53.4 |  52.89 |  53.14 |  98.72 |  99.62 |  99.25 |  99.56 |  99.62 |  99.54
|  fr |  81.81 |  94.38 |  80.13 |  53.48 |  52.72 |  52.81 |  99.27 |  99.5 |  99.27 |  99.67 |  99.6 |  99.5
|  es |  82.65 |  83.24 |  93.88 |  53.81 |  52.56 |  53.06 |  99.22 |  99.67 |  99.12 |  99.64 |  99.56 |  99.35
|  hi |  54.65 |  53.81 |  53.23 |  94.22 |  56.66 |  55.16 |  99.56 |  99.89 |  99.48 |  98.78 |  98.74 |  98.95
|  gu |  52.3 |  52.47 |  52.14 |  54.65 |  96.06 |  56.41 |  99.58 |  99.92 |  99.56 |  99.08 |  96.63 |  98.53
|  bn |  52.64 |  52.64 |  52.39 |  54.48 |  57.17 |  96.14 |  99.56 |  99.92 |  99.67 |  99.12 |  98.55 |  98.05
ML |  en |  99.16 |  88.35 |  88.35 |  54.32 |  52.05 |  52.56 |  98.68 |  99.77 |  99.71 |  99.94 |  99.98 |  99.94
|  fr |  92.2 |  96.9 |  89.02 |  54.32 |  52.22 |  53.23 |  99.18 |  99.69 |  99.73 |  99.81 |  99.98 |  99.87
|  es |  93.04 |  89.77 |  97.15 |  54.48 |  52.22 |  53.23 |  99.35 |  99.81 |  99.64 |  99.85 |  99.98 |  99.92
|  hi |  57.92 |  54.4 |  54.32 |  97.07 |  56.5 |  63.7 |  99.45 |  99.85 |  99.81 |  97.44 |  99.56 |  98.24
|  gu |  53.31 |  52.72 |  52.39 |  58.51 |  96.98 |  64.38 |  99.5 |  99.92 |  99.81 |  98.85 |  97.59 |  97.82
|  bn |  54.99 |  53.14 |  52.39 |  59.43 |  57.67 |  98.32 |  99.31 |  99.92 |  99.81 |  98.85 |  99.33 |  95.75
LL |  en |  92.04 |  77.87 |  79.97 |  55.49 |  53.81 |  53.65 |  99.71 |  99.89 |  99.75 |  99.45 |  97.82 |  99.14
|  fr |  83.74 |  92.37 |  85.75 |  56.92 |  53.98 |  53.98 |  99.83 |  99.83 |  99.75 |  99.54 |  97.78 |  99.35
|  es |  81.98 |  79.88 |  92.12 |  55.32 |  53.48 |  52.81 |  99.83 |  99.87 |  99.73 |  99.67 |  97.67 |  99.41
|  hi |  50.29 |  49.29 |  50.29 |  91.95 |  74.18 |  67.9 |  99.81 |  99.94 |  99.87 |  93.8 |  87.47 |  93.21
|  gu |  48.45 |  48.11 |  48.37 |  62.78 |  93.13 |  65.46 |  99.96 |  99.98 |  99.98 |  96.65 |  85.54 |  94.91
|  bn |  48.95 |  48.7 |  49.2 |  64.21 |  74.94 |  91.7 |  99.94 |  99.98 |  99.94 |  96.12 |  88.81 |  92.67
RL |  en |  92.54 |  75.44 |  75.44 |  52.64 |  52.05 |  52.05 |  99.64 |  99.85 |  99.87 |  99.98 |  99.98 |  99.98
|  fr |  79.88 |  91.7 |  79.46 |  52.64 |  52.05 |  52.05 |  99.71 |  99.81 |  99.73 |  100.0 |  100.0 |  100.0
|  es |  78.29 |  78.79 |  92.04 |  52.72 |  52.05 |  52.05 |  99.75 |  99.83 |  99.71 |  100.0 |  100.0 |  100.0
|  hi |  55.41 |  54.15 |  54.48 |  85.41 |  54.48 |  53.56 |  99.62 |  99.81 |  99.85 |  99.56 |  99.79 |  99.85
|  gu |  52.89 |  52.47 |  52.64 |  53.4 |  85.08 |  53.98 |  99.85 |  99.94 |  99.92 |  99.67 |  98.91 |  99.75
|  bn |  53.31 |  52.81 |  52.89 |  54.4 |  54.99 |  84.41 |  99.73 |  99.85 |  99.75 |  99.79 |  99.62 |  99.45

Table 64:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned mBERT on the fever ‘fr’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  96.65 |  86.67 |  82.15 |  55.16 |  53.73 |  54.06 |  99.29 |  99.52 |  99.89 |  99.16 |  99.12 |  98.24
|  fr |  84.49 |  96.9 |  85.5 |  55.74 |  53.9 |  54.65 |  99.58 |  99.08 |  99.85 |  99.16 |  99.02 |  97.88
|  es |  82.23 |  86.0 |  96.81 |  55.07 |  53.73 |  54.06 |  99.5 |  99.16 |  99.64 |  99.18 |  98.85 |  98.07
|  hi |  54.4 |  54.48 |  53.23 |  96.98 |  63.79 |  64.71 |  99.83 |  99.6 |  99.98 |  95.64 |  95.56 |  94.43
|  gu |  52.39 |  52.72 |  52.14 |  62.36 |  99.08 |  65.72 |  99.79 |  99.6 |  99.96 |  96.4 |  88.27 |  93.15
|  bn |  52.39 |  52.47 |  52.05 |  61.19 |  64.12 |  97.48 |  99.85 |  99.67 |  99.96 |  97.15 |  95.45 |  91.7
ML |  en |  99.25 |  93.29 |  82.48 |  55.57 |  53.4 |  54.82 |  98.37 |  99.29 |  99.87 |  99.79 |  99.64 |  99.56
|  fr |  94.47 |  98.83 |  89.77 |  55.74 |  53.23 |  55.41 |  98.93 |  98.18 |  99.83 |  99.79 |  99.64 |  99.43
|  es |  91.79 |  94.05 |  95.39 |  54.9 |  53.81 |  54.48 |  99.2 |  98.97 |  99.79 |  99.79 |  99.56 |  99.62
|  hi |  58.84 |  56.92 |  53.81 |  99.41 |  79.46 |  78.96 |  99.14 |  99.67 |  99.92 |  90.09 |  90.26 |  91.41
|  gu |  55.32 |  53.81 |  53.31 |  80.22 |  99.83 |  86.25 |  99.18 |  99.39 |  99.96 |  89.94 |  75.71 |  85.41
|  bn |  55.74 |  55.32 |  52.64 |  79.3 |  85.33 |  99.67 |  99.02 |  99.25 |  99.89 |  92.27 |  87.05 |  83.97
LL |  en |  97.74 |  94.05 |  93.55 |  67.22 |  60.6 |  60.77 |  99.5 |  99.54 |  99.64 |  99.2 |  99.31 |  99.45
|  fr |  94.13 |  97.99 |  94.22 |  65.72 |  58.93 |  59.93 |  99.73 |  99.64 |  99.71 |  99.43 |  99.54 |  99.62
|  es |  93.46 |  93.63 |  97.74 |  66.39 |  60.69 |  60.69 |  99.48 |  99.54 |  99.54 |  98.93 |  98.76 |  99.33
|  hi |  62.61 |  62.2 |  62.28 |  97.57 |  81.73 |  79.63 |  99.75 |  99.75 |  99.75 |  95.87 |  94.15 |  97.57
|  gu |  56.92 |  55.91 |  55.74 |  78.79 |  98.99 |  84.41 |  99.77 |  99.81 |  99.79 |  95.81 |  86.34 |  95.22
|  bn |  57.59 |  57.5 |  57.5 |  80.55 |  87.34 |  98.32 |  99.77 |  99.79 |  99.85 |  97.09 |  92.92 |  95.52
RL |  en |  95.39 |  85.5 |  72.34 |  68.31 |  57.75 |  63.45 |  83.24 |  96.21 |  99.48 |  93.75 |  97.17 |  95.91
|  fr |  92.29 |  97.48 |  80.47 |  70.33 |  59.51 |  64.88 |  87.91 |  93.5 |  99.31 |  93.34 |  97.11 |  95.33
|  es |  91.45 |  90.53 |  94.05 |  67.14 |  58.68 |  62.78 |  90.72 |  96.5 |  99.22 |  94.68 |  97.19 |  96.27
|  hi |  74.52 |  64.29 |  54.32 |  97.82 |  78.79 |  80.81 |  88.83 |  96.02 |  99.45 |  78.5 |  89.4 |  88.12
|  gu |  68.06 |  57.92 |  52.98 |  81.81 |  97.48 |  79.21 |  91.05 |  97.25 |  99.5 |  85.52 |  83.42 |  88.62
|  bn |  71.84 |  62.2 |  53.9 |  83.66 |  78.62 |  98.07 |  88.7 |  96.04 |  99.41 |  84.37 |  88.62 |  85.44

Table 65:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned mBERT on the fever ‘es’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  94.47 |  86.84 |  87.59 |  52.64 |  52.39 |  52.22 |  96.94 |  95.54 |  95.33 |  99.98 |  99.98 |  99.96
|  fr |  84.16 |  93.38 |  88.77 |  52.56 |  52.14 |  52.05 |  97.3 |  94.76 |  95.14 |  99.96 |  99.98 |  99.94
|  es |  84.07 |  87.17 |  93.97 |  52.64 |  52.3 |  52.3 |  97.34 |  95.24 |  94.7 |  99.96 |  100.0 |  99.94
|  hi |  54.65 |  54.32 |  56.08 |  91.62 |  53.06 |  52.3 |  99.08 |  97.86 |  98.05 |  99.73 |  99.79 |  99.69
|  gu |  53.9 |  54.4 |  55.41 |  52.14 |  95.81 |  52.64 |  98.87 |  97.76 |  97.46 |  99.96 |  99.06 |  99.73
|  bn |  54.57 |  54.99 |  56.16 |  52.14 |  53.4 |  91.95 |  98.85 |  97.59 |  97.61 |  99.96 |  99.71 |  99.54
ML |  en |  97.48 |  91.28 |  92.29 |  53.48 |  52.05 |  52.14 |  96.56 |  96.14 |  96.5 |  99.81 |  99.96 |  99.96
|  fr |  92.2 |  97.74 |  95.14 |  53.48 |  52.14 |  52.14 |  96.75 |  95.39 |  95.89 |  99.87 |  99.94 |  99.96
|  es |  92.62 |  93.8 |  97.74 |  53.48 |  52.22 |  52.14 |  96.75 |  95.73 |  95.81 |  99.92 |  99.96 |  99.96
|  hi |  57.25 |  58.09 |  57.5 |  90.11 |  53.14 |  53.06 |  98.24 |  97.88 |  98.01 |  99.56 |  99.81 |  99.77
|  gu |  54.99 |  55.41 |  54.74 |  53.56 |  90.86 |  53.06 |  98.28 |  97.86 |  97.84 |  99.56 |  99.25 |  99.71
|  bn |  55.83 |  56.5 |  55.66 |  52.98 |  53.06 |  90.44 |  98.01 |  97.69 |  97.65 |  99.75 |  99.75 |  99.69
LL |  en |  94.13 |  81.31 |  80.3 |  53.4 |  52.98 |  53.14 |  99.41 |  99.62 |  99.69 |  99.96 |  99.96 |  99.94
|  fr |  76.03 |  94.47 |  79.97 |  52.81 |  52.64 |  52.81 |  99.79 |  99.27 |  99.6 |  99.96 |  99.96 |  99.94
|  es |  76.45 |  81.98 |  93.38 |  53.48 |  52.89 |  52.81 |  99.67 |  99.56 |  99.39 |  99.96 |  99.98 |  99.94
|  hi |  56.92 |  57.67 |  58.68 |  88.85 |  58.26 |  58.93 |  99.5 |  99.41 |  99.56 |  99.41 |  99.56 |  99.62
|  gu |  54.32 |  53.73 |  55.07 |  57.08 |  91.28 |  59.35 |  99.67 |  99.45 |  99.64 |  99.62 |  98.89 |  99.67
|  bn |  55.83 |  55.41 |  56.08 |  57.67 |  60.02 |  91.11 |  99.45 |  99.31 |  99.56 |  99.43 |  99.37 |  99.2
RL |  en |  97.9 |  88.1 |  88.94 |  54.32 |  52.14 |  52.39 |  97.97 |  98.22 |  98.55 |  99.56 |  99.96 |  99.85
|  fr |  87.68 |  97.57 |  89.77 |  54.23 |  52.05 |  52.3 |  98.18 |  97.67 |  98.53 |  99.58 |  99.98 |  99.83
|  es |  86.0 |  88.1 |  97.4 |  54.23 |  52.22 |  52.3 |  98.34 |  98.2 |  98.37 |  99.56 |  99.96 |  99.85
|  hi |  54.4 |  54.06 |  55.07 |  95.31 |  52.64 |  53.06 |  99.16 |  99.14 |  99.35 |  99.27 |  99.89 |  99.81
|  gu |  52.98 |  52.47 |  53.48 |  54.06 |  96.31 |  53.14 |  99.08 |  99.27 |  99.29 |  99.25 |  99.48 |  99.67
|  bn |  53.06 |  53.14 |  53.56 |  54.06 |  52.47 |  96.98 |  98.76 |  98.91 |  99.14 |  99.22 |  99.77 |  99.37

Table 66:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned mBERT on the fever ‘hi’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  97.82 |  87.43 |  87.85 |  50.29 |  48.03 |  48.11 |  91.16 |  95.58 |  95.37 |  99.69 |  99.98 |  99.79
|  fr |  89.61 |  97.9 |  90.61 |  50.04 |  47.95 |  47.86 |  93.71 |  94.55 |  95.35 |  99.75 |  100.0 |  99.71
|  es |  89.02 |  88.68 |  97.57 |  49.87 |  48.03 |  48.03 |  93.78 |  95.68 |  94.72 |  99.67 |  99.98 |  99.77
|  hi |  52.81 |  52.05 |  53.23 |  94.89 |  48.53 |  49.62 |  97.02 |  98.11 |  98.11 |  99.12 |  99.94 |  99.6
|  gu |  49.2 |  48.7 |  49.45 |  48.79 |  95.56 |  48.28 |  98.53 |  99.25 |  99.25 |  99.79 |  99.22 |  99.85
|  bn |  51.72 |  50.88 |  51.3 |  51.05 |  48.37 |  95.39 |  97.23 |  98.43 |  98.34 |  99.5 |  99.94 |  99.31
ML |  en |  99.41 |  94.64 |  96.06 |  55.16 |  52.05 |  52.56 |  90.07 |  91.55 |  89.23 |  99.69 |  100.0 |  99.83
|  fr |  95.56 |  98.91 |  96.48 |  54.74 |  52.05 |  52.3 |  91.05 |  89.94 |  88.58 |  99.75 |  99.98 |  99.89
|  es |  94.3 |  95.31 |  99.16 |  55.57 |  52.05 |  52.39 |  91.37 |  91.51 |  88.47 |  99.71 |  100.0 |  99.83
|  hi |  59.43 |  59.35 |  61.11 |  97.07 |  53.48 |  55.49 |  96.9 |  96.58 |  95.52 |  98.97 |  99.85 |  99.5
|  gu |  53.65 |  54.23 |  54.57 |  53.73 |  95.39 |  53.98 |  98.41 |  98.09 |  97.65 |  99.67 |  99.43 |  99.69
|  bn |  55.41 |  55.49 |  57.42 |  56.24 |  53.73 |  96.98 |  97.67 |  97.55 |  96.46 |  99.29 |  99.81 |  98.89
LL |  en |  88.68 |  82.82 |  82.56 |  83.24 |  90.28 |  89.94 |  81.77 |  82.23 |  82.15 |  72.78 |  64.31 |  64.98
|  fr |  78.88 |  90.11 |  81.81 |  84.07 |  90.28 |  90.7 |  84.09 |  81.14 |  82.59 |  73.07 |  64.71 |  65.23
|  es |  79.04 |  83.66 |  90.7 |  84.74 |  90.86 |  91.87 |  83.84 |  82.46 |  81.35 |  72.3 |  63.68 |  64.33
|  hi |  56.24 |  56.08 |  55.74 |  87.76 |  90.7 |  91.53 |  95.33 |  94.87 |  94.91 |  76.15 |  64.54 |  66.91
|  gu |  52.39 |  52.72 |  52.64 |  60.52 |  88.35 |  71.25 |  99.56 |  99.5 |  99.56 |  90.4 |  76.47 |  81.54
|  bn |  52.81 |  53.14 |  52.98 |  70.08 |  86.34 |  90.19 |  98.41 |  98.32 |  98.34 |  84.12 |  69.22 |  72.07
RL |  en |  92.46 |  88.94 |  88.68 |  55.99 |  52.39 |  52.89 |  76.15 |  77.49 |  78.77 |  97.74 |  99.85 |  99.71
|  fr |  86.34 |  93.13 |  88.35 |  54.9 |  52.22 |  52.98 |  78.14 |  77.39 |  79.53 |  98.05 |  99.87 |  99.73
|  es |  87.76 |  89.27 |  94.8 |  56.24 |  52.22 |  52.72 |  75.84 |  75.88 |  76.7 |  97.57 |  99.85 |  99.6
|  hi |  73.34 |  75.44 |  74.02 |  93.04 |  53.23 |  54.15 |  77.85 |  78.1 |  79.32 |  95.2 |  99.6 |  99.33
|  gu |  67.98 |  69.57 |  67.48 |  56.16 |  88.35 |  53.14 |  82.21 |  82.0 |  83.82 |  96.92 |  98.72 |  99.1
|  bn |  71.17 |  73.34 |  72.25 |  57.42 |  53.31 |  90.53 |  78.9 |  78.94 |  80.68 |  96.35 |  99.5 |  98.99

Table 67:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned mBERT on the fever ‘gu’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  94.55 |  83.32 |  84.49 |  54.9 |  52.47 |  52.14 |  95.1 |  95.24 |  93.63 |  98.89 |  99.75 |  99.94
|  fr |  82.48 |  94.55 |  86.34 |  54.99 |  52.47 |  52.14 |  95.89 |  94.49 |  93.44 |  98.74 |  99.75 |  99.96
|  es |  82.73 |  83.82 |  93.71 |  54.9 |  52.56 |  52.14 |  95.79 |  95.05 |  93.08 |  98.81 |  99.77 |  99.92
|  hi |  49.62 |  50.21 |  50.54 |  97.32 |  55.24 |  52.47 |  98.39 |  97.95 |  98.01 |  93.4 |  99.06 |  99.94
|  gu |  48.7 |  48.87 |  49.12 |  63.2 |  98.24 |  52.89 |  98.66 |  98.01 |  98.07 |  95.1 |  97.42 |  99.83
|  bn |  48.2 |  48.37 |  48.03 |  60.18 |  53.9 |  98.49 |  98.91 |  98.37 |  98.49 |  95.49 |  99.37 |  99.04
ML |  en |  93.21 |  82.98 |  71.42 |  57.25 |  53.06 |  52.14 |  80.87 |  80.3 |  85.69 |  98.34 |  99.62 |  99.96
|  fr |  86.42 |  92.71 |  82.15 |  55.49 |  52.98 |  52.05 |  83.76 |  78.27 |  82.38 |  98.41 |  99.62 |  99.98
|  es |  77.37 |  84.91 |  93.63 |  54.57 |  52.81 |  52.05 |  86.88 |  79.84 |  77.77 |  98.83 |  99.73 |  99.98
|  hi |  72.42 |  69.57 |  62.78 |  98.58 |  61.69 |  52.56 |  86.06 |  83.17 |  88.37 |  93.19 |  98.11 |  99.92
|  gu |  67.14 |  66.05 |  61.53 |  64.12 |  99.25 |  52.64 |  99.06 |  96.4 |  96.4 |  96.4 |  93.84 |  96.4
|  bn |  60.86 |  61.27 |  58.0 |  58.76 |  57.92 |  94.72 |  93.25 |  90.28 |  92.27 |  97.95 |  99.06 |  90.28
LL |  en |  83.66 |  52.64 |  53.14 |  52.05 |  52.05 |  52.05 |  99.71 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  fr |  52.14 |  89.02 |  52.47 |  52.05 |  52.05 |  52.05 |  100.0 |  98.66 |  100.0 |  100.0 |  100.0 |  100.0
|  es |  52.14 |  52.72 |  88.01 |  52.05 |  52.05 |  52.05 |  100.0 |  99.98 |  98.16 |  100.0 |  100.0 |  100.0
|  hi |  52.05 |  52.05 |  52.72 |  85.0 |  52.72 |  52.05 |  100.0 |  100.0 |  99.98 |  98.76 |  99.98 |  100.0
|  gu |  52.05 |  52.05 |  53.23 |  52.56 |  87.34 |  52.05 |  100.0 |  100.0 |  99.92 |  100.0 |  96.35 |  100.0
|  bn |  53.9 |  55.99 |  63.7 |  79.72 |  79.38 |  81.39 |  99.81 |  99.87 |  98.41 |  95.14 |  93.4 |  99.52
RL |  en |  89.94 |  82.73 |  83.49 |  54.74 |  53.4 |  52.39 |  87.61 |  88.03 |  87.97 |  98.89 |  99.06 |  99.83
|  fr |  84.33 |  90.61 |  85.0 |  54.74 |  53.14 |  52.3 |  88.43 |  87.66 |  87.66 |  98.49 |  98.99 |  99.81
|  es |  83.49 |  84.91 |  90.19 |  55.41 |  53.65 |  52.3 |  88.73 |  87.76 |  87.22 |  98.53 |  98.93 |  99.69
|  hi |  60.77 |  62.28 |  63.2 |  96.48 |  63.29 |  54.4 |  91.87 |  90.67 |  90.46 |  96.35 |  96.31 |  99.27
|  gu |  58.84 |  59.93 |  59.93 |  61.78 |  97.07 |  55.07 |  92.33 |  91.6 |  90.84 |  96.98 |  93.13 |  99.18
|  bn |  58.09 |  59.51 |  59.93 |  60.35 |  61.78 |  91.7 |  93.15 |  92.14 |  91.79 |  97.67 |  96.27 |  98.95

Table 68:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned mBERT on the fever ‘bn’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  96.65 |  79.88 |  79.46 |  52.81 |  52.14 |  52.05 |  99.5 |  99.41 |  99.45 |  99.98 |  100.0 |  100.0
|  fr |  78.46 |  95.81 |  81.31 |  52.64 |  52.05 |  52.05 |  99.75 |  99.02 |  99.5 |  99.98 |  100.0 |  100.0
|  es |  77.28 |  80.81 |  95.14 |  52.81 |  52.14 |  52.14 |  99.69 |  99.25 |  99.31 |  99.96 |  100.0 |  99.98
|  hi |  53.4 |  53.9 |  53.73 |  92.54 |  52.22 |  52.81 |  99.98 |  99.87 |  99.89 |  99.71 |  100.0 |  99.92
|  gu |  52.14 |  52.22 |  52.22 |  52.22 |  94.3 |  52.56 |  99.96 |  99.92 |  99.85 |  99.92 |  99.62 |  99.96
|  bn |  52.39 |  52.22 |  52.22 |  52.39 |  52.81 |  94.89 |  99.98 |  99.92 |  99.92 |  99.96 |  100.0 |  99.79
ML |  en |  95.64 |  76.53 |  82.15 |  53.9 |  53.4 |  52.89 |  98.78 |  99.54 |  99.2 |  99.81 |  99.64 |  99.87
|  fr |  81.81 |  92.71 |  82.65 |  53.9 |  53.4 |  53.06 |  98.89 |  99.1 |  99.04 |  99.75 |  99.48 |  99.69
|  es |  84.41 |  81.39 |  94.38 |  54.4 |  53.31 |  53.06 |  99.06 |  99.35 |  99.06 |  99.67 |  99.52 |  99.81
|  hi |  54.99 |  53.9 |  54.74 |  92.46 |  57.59 |  54.15 |  99.5 |  99.71 |  99.52 |  99.14 |  98.81 |  99.54
|  gu |  53.31 |  52.81 |  52.98 |  54.48 |  97.32 |  54.4 |  99.45 |  99.67 |  99.52 |  99.79 |  97.02 |  99.41
|  bn |  53.65 |  53.4 |  53.56 |  55.57 |  58.42 |  92.54 |  99.33 |  99.71 |  99.45 |  99.39 |  98.24 |  99.02
LL |  en |  93.8 |  75.27 |  74.43 |  54.9 |  53.31 |  54.9 |  97.42 |  99.37 |  99.64 |  99.89 |  99.87 |  99.75
|  fr |  75.69 |  93.63 |  68.73 |  53.98 |  52.39 |  53.73 |  99.27 |  97.51 |  99.92 |  99.98 |  99.85 |  99.85
|  es |  78.88 |  76.03 |  92.62 |  54.82 |  52.98 |  54.23 |  99.18 |  99.71 |  99.04 |  99.98 |  99.83 |  99.81
|  hi |  56.16 |  54.06 |  53.81 |  90.03 |  57.92 |  57.67 |  99.52 |  99.87 |  99.87 |  98.87 |  98.89 |  99.33
|  gu |  53.65 |  52.81 |  52.56 |  55.41 |  92.29 |  56.5 |  99.69 |  99.94 |  99.92 |  99.52 |  97.25 |  99.27
|  bn |  54.99 |  53.48 |  52.98 |  57.84 |  58.42 |  90.53 |  99.52 |  99.85 |  99.92 |  99.31 |  98.99 |  97.84
RL |  en |  95.98 |  81.73 |  82.23 |  53.23 |  52.14 |  52.22 |  99.16 |  99.31 |  99.48 |  99.94 |  99.98 |  99.87
|  fr |  81.47 |  95.47 |  83.99 |  53.06 |  52.14 |  52.22 |  99.31 |  99.2 |  99.29 |  99.94 |  100.0 |  99.87
|  es |  81.64 |  84.66 |  95.05 |  53.4 |  52.14 |  52.05 |  99.31 |  99.33 |  99.37 |  99.89 |  100.0 |  99.92
|  hi |  53.65 |  53.31 |  53.48 |  94.64 |  52.3 |  53.23 |  99.79 |  99.81 |  99.92 |  99.64 |  99.94 |  99.52
|  gu |  52.14 |  52.22 |  52.22 |  52.3 |  93.04 |  52.22 |  99.92 |  99.85 |  99.94 |  99.92 |  99.69 |  99.77
|  bn |  52.22 |  52.3 |  52.14 |  52.64 |  52.39 |  95.73 |  99.81 |  99.85 |  99.87 |  99.77 |  99.89 |  99.1

Table 69:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned mBERT on the fever ‘mixed’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  95.98 |  78.12 |  80.55 |  57.75 |  57.33 |  56.5 |  98.55 |  95.96 |  95.87 |  97.36 |  96.04 |  96.02
|  fr |  71.67 |  95.47 |  86.25 |  59.77 |  60.27 |  59.26 |  99.06 |  94.66 |  94.55 |  96.58 |  94.68 |  94.51
|  es |  74.35 |  86.92 |  95.22 |  60.18 |  61.02 |  59.43 |  98.99 |  94.72 |  93.8 |  96.44 |  94.07 |  94.57
|  hi |  54.48 |  59.51 |  60.18 |  96.56 |  77.28 |  74.69 |  99.08 |  95.58 |  95.33 |  87.07 |  83.45 |  85.33
|  gu |  53.31 |  57.17 |  56.24 |  71.0 |  96.23 |  77.12 |  99.16 |  95.91 |  95.68 |  89.52 |  77.16 |  83.24
|  bn |  53.14 |  57.17 |  56.08 |  69.24 |  77.12 |  95.73 |  99.16 |  96.0 |  95.81 |  90.59 |  82.86 |  83.51
ML |  en |  93.97 |  83.82 |  83.91 |  59.6 |  56.66 |  58.51 |  98.99 |  98.62 |  98.76 |  97.69 |  98.13 |  97.88
|  fr |  81.73 |  94.97 |  86.59 |  59.77 |  56.58 |  58.76 |  99.04 |  98.11 |  98.47 |  97.55 |  97.76 |  97.55
|  es |  79.72 |  85.41 |  94.97 |  60.6 |  57.0 |  58.26 |  98.93 |  98.22 |  98.16 |  97.36 |  97.82 |  97.67
|  hi |  58.0 |  60.1 |  60.18 |  97.4 |  75.52 |  81.06 |  98.47 |  97.53 |  97.69 |  88.18 |  88.79 |  85.88
|  gu |  54.48 |  56.24 |  56.41 |  74.27 |  95.98 |  79.8 |  98.7 |  97.9 |  97.99 |  89.54 |  86.94 |  86.3
|  bn |  54.74 |  56.5 |  56.83 |  77.45 |  77.03 |  98.32 |  98.51 |  97.63 |  97.95 |  88.62 |  86.88 |  81.77
LL |  en |  94.72 |  86.5 |  87.93 |  65.97 |  61.36 |  63.37 |  99.25 |  99.29 |  98.81 |  98.34 |  98.09 |  96.81
|  fr |  80.72 |  91.95 |  84.33 |  65.05 |  60.69 |  62.87 |  99.27 |  99.1 |  98.58 |  98.39 |  97.65 |  96.79
|  es |  80.55 |  84.66 |  92.46 |  63.96 |  60.6 |  61.19 |  99.41 |  99.2 |  98.62 |  98.64 |  98.05 |  96.79
|  hi |  58.17 |  59.51 |  59.68 |  91.95 |  74.35 |  74.18 |  99.52 |  99.22 |  98.66 |  94.95 |  92.25 |  92.29
|  gu |  54.4 |  55.07 |  55.57 |  67.73 |  89.61 |  72.09 |  99.5 |  99.41 |  98.87 |  94.91 |  90.84 |  91.95
|  bn |  54.74 |  55.83 |  55.83 |  68.06 |  69.99 |  90.03 |  99.54 |  99.48 |  98.97 |  95.75 |  92.73 |  91.47
RL |  en |  88.27 |  70.08 |  71.42 |  54.4 |  54.23 |  53.23 |  99.58 |  99.16 |  99.31 |  99.54 |  99.5 |  99.64
|  fr |  70.41 |  87.26 |  72.51 |  53.9 |  54.23 |  53.23 |  99.67 |  99.18 |  99.2 |  99.58 |  99.5 |  99.56
|  es |  68.99 |  72.09 |  84.91 |  53.73 |  54.15 |  52.89 |  99.5 |  99.18 |  99.14 |  99.64 |  99.35 |  99.67
|  hi |  54.23 |  54.15 |  54.06 |  83.82 |  59.77 |  57.59 |  99.69 |  99.25 |  99.12 |  99.39 |  98.76 |  99.41
|  gu |  52.56 |  52.81 |  52.89 |  54.4 |  84.74 |  55.32 |  99.6 |  99.37 |  99.33 |  99.58 |  98.64 |  99.33
|  bn |  52.39 |  53.06 |  53.14 |  54.4 |  57.5 |  84.41 |  99.73 |  99.31 |  99.27 |  99.52 |  99.02 |  99.2

Table 70:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned XLM-RoBERTa on the fever ‘en’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  53.06 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  fr |  52.05 |  61.27 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  es |  52.05 |  52.05 |  60.86 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  hi |  52.05 |  52.05 |  52.05 |  57.84 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  gu |  52.05 |  52.05 |  52.05 |  52.05 |  58.09 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  bn |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  58.42 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
ML |  en |  60.6 |  52.22 |  52.14 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  fr |  52.14 |  65.13 |  52.14 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  es |  52.05 |  52.72 |  63.87 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  hi |  52.05 |  52.05 |  52.05 |  64.46 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  gu |  52.05 |  52.05 |  52.05 |  52.3 |  61.53 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  bn |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  61.94 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
LL |  en |  90.78 |  76.87 |  79.38 |  54.74 |  52.98 |  52.72 |  99.87 |  99.85 |  99.81 |  99.98 |  99.98 |  99.98
|  fr |  76.95 |  90.11 |  79.8 |  53.81 |  52.81 |  52.89 |  99.89 |  99.92 |  99.94 |  100.0 |  99.98 |  99.98
|  es |  77.62 |  79.8 |  90.19 |  54.65 |  53.31 |  53.14 |  99.92 |  99.89 |  99.89 |  99.96 |  99.98 |  99.96
|  hi |  56.08 |  57.08 |  57.17 |  87.68 |  60.6 |  59.43 |  99.89 |  99.83 |  99.89 |  99.85 |  99.77 |  99.77
|  gu |  53.73 |  54.99 |  54.15 |  58.34 |  86.17 |  57.92 |  99.98 |  99.96 |  99.94 |  99.77 |  99.6 |  99.62
|  bn |  54.15 |  54.99 |  54.23 |  57.0 |  58.59 |  86.67 |  99.96 |  99.92 |  99.98 |  99.73 |  99.71 |  99.6
RL |  en |  66.64 |  52.89 |  52.98 |  52.14 |  52.05 |  52.05 |  99.94 |  100.0 |  99.96 |  99.96 |  100.0 |  99.96
|  fr |  53.14 |  70.91 |  53.56 |  52.05 |  52.05 |  52.05 |  100.0 |  99.98 |  100.0 |  99.94 |  100.0 |  100.0
|  es |  52.98 |  53.9 |  70.58 |  52.22 |  52.05 |  52.22 |  99.98 |  100.0 |  100.0 |  99.92 |  100.0 |  99.96
|  hi |  52.05 |  52.05 |  52.05 |  72.92 |  52.05 |  52.22 |  100.0 |  100.0 |  100.0 |  99.96 |  100.0 |  99.96
|  gu |  52.05 |  52.05 |  52.05 |  54.4 |  68.65 |  53.56 |  100.0 |  100.0 |  100.0 |  99.89 |  99.98 |  99.81
|  bn |  52.05 |  52.05 |  52.05 |  52.3 |  52.05 |  70.08 |  100.0 |  100.0 |  100.0 |  99.98 |  100.0 |  99.92

Table 71:  The table represents the $G_{S}$ and $S_{S}$ using FT over fine-
tuned XLM-RoBERTa on the fever ‘fr’ dataset.

|  |  $G_{S}$ ($x^{\prime}$) $\rightarrow$ |  $S_{S}$ ($\hat{x}$) $\rightarrow$
---|---|---|---
Set |  $x$ $\downarrow$ |  en |  fr |  es |  hi |  gu |  bn |  en |  fr |  es |  hi |  gu |  bn
IL |  en |  53.06 |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  fr |  52.14 |  60.77 |  52.05 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  es |  52.05 |  52.05 |  60.1 |  52.05 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  hi |  52.05 |  52.05 |  52.05 |  59.77 |  52.05 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  gu |  52.05 |  52.05 |  52.05 |  52.05 |  59.51 |  52.05 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
|  bn |  52.05 |  52.05 |  52.05 |  52.05 |  52.05 |  58.42 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0 |  100.0
ML |  en |  91.87 |  81.56 |  81.22 |  57.0 |  54.74 |  53.23 |  98.6 |  98.34 |  99.06 |  99.67 |  99.27 |  99.69
|  fr |  80.64 |  92.79 |  81.89 |  55.66 |  54.82 |  53.65 |  98.55 |  97.78 |  98.81 |  99.64 |  99.35 |  99.73
|  es |  80.81 |  82.9 |  92.71 |  56.33 |  54.57 |  53.56 |  98.93 |  98.43 |  98.7 |  99.75 |  99.43 |  99.71
|  hi |  58.76 |  59.93 |  58.51 |  90.61 |  63.37 |  59.35 |  99.1 |  98.6 |  99.04 |  97.82 |  97.9 |  98.72
|  gu |  56.41 |  57.42 |  56.08 |  64.54 |  90.19 |  58.59 |  99.08 |  98.55 |  99.2 |  98.43 |  97.02 |  98.97
|  bn |  55.49 |  56.75 |  55.24 |  61.36 |  62.11 |  89.86 |  99.2 |  98.93 |  99.16 |  98.07 |  97.86 |  97.57
LL |  en |  94.47 |  83.4 |  84.91 |  59.93 |  55.66 |  56.16 |  99.62 |  99.73 |  99.73 |  99.79 |  99.62 |  99.75