Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 48
LLM Reasoning
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How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 21 -
Common 7B Language Models Already Possess Strong Math Capabilities
Paper • 2403.04706 • Published • 18 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 48 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 31 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 125 -
FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
Paper • 2505.02735 • Published • 33 -
UloRL:An Ultra-Long Output Reinforcement Learning Approach for Advancing Large Language Models' Reasoning Abilities
Paper • 2507.19766 • Published • 15 -
VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning
Paper • 2507.22607 • Published • 47 -
A Survey of Reinforcement Learning for Large Reasoning Models
Paper • 2509.08827 • Published • 193 -
Lost in Embeddings: Information Loss in Vision-Language Models
Paper • 2509.11986 • Published • 29