SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
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2502.02737
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203
reasoning
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Demystifying Long Chain-of-Thought Reasoning in LLMs
Paper • 2502.03373 • Published • 56 -
Kimi k1.5: Scaling Reinforcement Learning with LLMs
Paper • 2501.12599 • Published • 103 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 108 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 111 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 91 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 34 -
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper • 2502.14768 • Published • 45 -
LIMO: Less is More for Reasoning
Paper • 2502.03387 • Published • 58 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 37 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 23 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 92