rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
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2501.04519
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Published
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257
Reasoning 🧠
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Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 90 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 55 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 78 -
Test-time Computing: from System-1 Thinking to System-2 Thinking
Paper • 2501.02497 • Published • 41 -
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Paper • 2501.07301 • Published • 91 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 106 -
Hallucinations Can Improve Large Language Models in Drug Discovery
Paper • 2501.13824 • Published • 9 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 106 -
LIMO: Less is More for Reasoning
Paper • 2502.03387 • Published • 56 -
s1: Simple test-time scaling
Paper • 2501.19393 • Published • 105 -
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding
Paper • 2502.08946 • Published • 180