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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 24
Collections
Discover the best community collections!
Collections including paper arxiv:2412.08905
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MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 284 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 155 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147
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ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 85 -
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 29 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 34 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 44
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Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 81 -
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
DeepSeek-V3 Technical Report
Paper • 2412.19437 • Published • 70
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microsoft/Phi-4-mini-flash-reasoning
Text Generation • 4B • Updated • 33.1k • 224 -
microsoft/Phi-4-mini-reasoning
Text Generation • 4B • Updated • 9.83k • 202 -
microsoft/Phi-4-reasoning
Text Generation • 15B • Updated • 55.5k • 203 -
microsoft/Phi-4-reasoning-plus
Text Generation • 15B • Updated • 9.58k • 322
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 53 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 44 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
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RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 90 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 48 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 34 -
Revisiting In-Context Learning with Long Context Language Models
Paper • 2412.16926 • Published • 33
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 24
-
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 284 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 155 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147
-
Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 81 -
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
DeepSeek-V3 Technical Report
Paper • 2412.19437 • Published • 70
-
microsoft/Phi-4-mini-flash-reasoning
Text Generation • 4B • Updated • 33.1k • 224 -
microsoft/Phi-4-mini-reasoning
Text Generation • 4B • Updated • 9.83k • 202 -
microsoft/Phi-4-reasoning
Text Generation • 15B • Updated • 55.5k • 203 -
microsoft/Phi-4-reasoning-plus
Text Generation • 15B • Updated • 9.58k • 322
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 53 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 44 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
-
ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 85 -
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 29 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 34 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 44
-
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 90 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 48 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 34 -
Revisiting In-Context Learning with Long Context Language Models
Paper • 2412.16926 • Published • 33