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data/2509.02108.json

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+{"paper_url": "https://huggingface.co/papers/2509.02108", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging](https://huggingface.co/papers/2508.01148) (2025)\n* [Tensorized Clustered LoRA Merging for Multi-Task Interference](https://huggingface.co/papers/2508.03999) (2025)\n* [Rethinking Layer-wise Model Merging through Chain of Merges](https://huggingface.co/papers/2508.21421) (2025)\n* [Task-Based Flexible Feature Distillation for LLMs](https://huggingface.co/papers/2507.10155) (2025)\n* [ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation](https://huggingface.co/papers/2508.04153) (2025)\n* [Align, Don't Divide: Revisiting the LoRA Architecture in Multi-Task Learning](https://huggingface.co/papers/2508.05078) (2025)\n* [Efficient Multi-Source Knowledge Transfer by Model Merging](https://huggingface.co/papers/2508.19353) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2509.03740.json

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+{"paper_url": "https://huggingface.co/papers/2509.03740", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [GLAD: Generalizable Tuning for Vision-Language Models](https://huggingface.co/papers/2507.13089) (2025)\n* [Hierarchical Cross-modal Prompt Learning for Vision-Language Models](https://huggingface.co/papers/2507.14976) (2025)\n* [MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning](https://huggingface.co/papers/2507.21786) (2025)\n* [Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model](https://huggingface.co/papers/2509.03895) (2025)\n* [Accelerating Conditional Prompt Learning via Masked Image Modeling for Vision-Language Models](https://huggingface.co/papers/2508.04942) (2025)\n* [One Last Attention for Your Vision-Language Model](https://huggingface.co/papers/2507.15480) (2025)\n* [Towards Fine-Grained Adaptation of CLIP via a Self-Trained Alignment Score](https://huggingface.co/papers/2507.09615) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2509.04582.json

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+{"paper_url": "https://huggingface.co/papers/2509.04582", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Training-free Geometric Image Editing on Diffusion Models](https://huggingface.co/papers/2507.23300) (2025)\n* [HarmonPaint: Harmonized Training-Free Diffusion Inpainting](https://huggingface.co/papers/2507.16732) (2025)\n* [Trans-Adapter: A Plug-and-Play Framework for Transparent Image Inpainting](https://huggingface.co/papers/2508.01098) (2025)\n* [Sketch3DVE: Sketch-based 3D-Aware Scene Video Editing](https://huggingface.co/papers/2508.13797) (2025)\n* [CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing](https://huggingface.co/papers/2508.06937) (2025)\n* [2D Gaussian Splatting with Semantic Alignment for Image Inpainting](https://huggingface.co/papers/2509.01964) (2025)\n* [DualFit: A Two-Stage Virtual Try-On via Warping and Synthesis](https://huggingface.co/papers/2508.12131) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2509.06155.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2509.06155", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation](https://huggingface.co/papers/2508.16930) (2025)\n* [DualDub: Video-to-Soundtrack Generation via Joint Speech and Background Audio Synthesis](https://huggingface.co/papers/2507.10109) (2025)\n* [Efficient Video-to-Audio Generation via Multiple Foundation Models Mapper](https://huggingface.co/papers/2509.04957) (2025)\n* [AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation](https://huggingface.co/papers/2508.00733) (2025)\n* [SSG-Dit: A Spatial Signal Guided Framework for Controllable Video Generation](https://huggingface.co/papers/2508.17062) (2025)\n* [LD-LAudio-V1: Video-to-Long-Form-Audio Generation Extension with Dual Lightweight Adapters](https://huggingface.co/papers/2508.11074) (2025)\n* [SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation](https://huggingface.co/papers/2507.09862) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2509.06285.json

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+{"paper_url": "https://huggingface.co/papers/2509.06285", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [D$^2$-LIO: Enhanced Optimization for LiDAR-IMU Odometry Considering Directional Degeneracy](https://huggingface.co/papers/2508.14355) (2025)\n* [Veila: Panoramic LiDAR Generation from a Monocular RGB Image](https://huggingface.co/papers/2508.03690) (2025)\n* [DualReg: Dual-Space Filtering and Reinforcement for Rigid Registration](https://huggingface.co/papers/2508.17034) (2025)\n* [GSFusion:Globally Optimized LiDAR-Inertial-Visual Mapping for Gaussian Splatting](https://huggingface.co/papers/2507.23273) (2025)\n* [Hi^2-GSLoc: Dual-Hierarchical Gaussian-Specific Visual Relocalization for Remote Sensing](https://huggingface.co/papers/2507.15683) (2025)\n* [Look Before You Fuse: 2D-Guided Cross-Modal Alignment for Robust 3D Detection](https://huggingface.co/papers/2507.16861) (2025)\n* [GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking](https://huggingface.co/papers/2508.08117) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2509.06733.json

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+{"paper_url": "https://huggingface.co/papers/2509.06733", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Reinforcement Learning in Vision: A Survey](https://huggingface.co/papers/2508.08189) (2025)\n* [VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use](https://huggingface.co/papers/2509.01055) (2025)\n* [Encouraging Good Processes Without the Need for Good Answers: Reinforcement Learning for LLM Agent Planning](https://huggingface.co/papers/2508.19598) (2025)\n* [Agentic Reinforced Policy Optimization](https://huggingface.co/papers/2507.19849) (2025)\n* [SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents](https://huggingface.co/papers/2509.06283) (2025)\n* [rStar2-Agent: Agentic Reasoning Technical Report](https://huggingface.co/papers/2508.20722) (2025)\n* [Can Compact Language Models Search Like Agents? Distillation-Guided Policy Optimization for Preserving Agentic RAG Capabilities](https://huggingface.co/papers/2508.20324) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2509.06917.json

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+{"paper_url": "https://huggingface.co/papers/2509.06917", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [Code2MCP: A Multi-Agent Framework for Automated Transformation of Code Repositories into Model Context Protocol Services](https://huggingface.co/papers/2509.05941) (2025)\n* [Experiences with Model Context Protocol Servers for Science and High Performance Computing](https://huggingface.co/papers/2508.18489) (2025)\n* [PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows](https://huggingface.co/papers/2508.02866) (2025)\n* [Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code](https://huggingface.co/papers/2508.08322) (2025)\n* [AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications](https://huggingface.co/papers/2508.16279) (2025)\n* [Alpha Berkeley: A Scalable Framework for the Orchestration of Agentic Systems](https://huggingface.co/papers/2508.15066) (2025)\n* [AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration](https://huggingface.co/papers/2508.02470) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}

data/2509.06949.json

@@ -0,0 +1 @@
+{"paper_url": "https://huggingface.co/papers/2509.06949", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [AutoTIR: Autonomous Tools Integrated Reasoning via Reinforcement Learning](https://huggingface.co/papers/2507.21836) (2025)\n* [Pentest-R1: Towards Autonomous Penetration Testing Reasoning Optimized via Two-Stage Reinforcement Learning](https://huggingface.co/papers/2508.07382) (2025)\n* [GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning](https://huggingface.co/papers/2507.19457) (2025)\n* [The Landscape of Agentic Reinforcement Learning for LLMs: A Survey](https://huggingface.co/papers/2509.02547) (2025)\n* [REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation](https://huggingface.co/papers/2508.08149) (2025)\n* [Dream-Coder 7B: An Open Diffusion Language Model for Code](https://huggingface.co/papers/2509.01142) (2025)\n* [Enhancing Math Reasoning in Small-sized LLMs via Preview Difficulty-Aware Intervention](https://huggingface.co/papers/2508.01604) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}