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Jan 17
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Collections including paper arxiv:2501.04519
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Apr 11
Apr 11-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
START: Self-taught Reasoner with Tools
Paper • 2503.04625 • Published • 113 -
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Paper • 2503.18892 • Published • 31
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Feb 17
Feb 17-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 63 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 90
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Jan 12
Jan 12-
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95
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Oct 30
Oct 30-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 54 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 27
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Jan 12
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Jan 17
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Jan 16
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Apr 11
Apr 11-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
START: Self-taught Reasoner with Tools
Paper • 2503.04625 • Published • 113 -
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Paper • 2503.18892 • Published • 31
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Jan 14
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Feb 17
Feb 17-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99 -
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Paper • 2408.03314 • Published • 63 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 90
Collection by
Oct 30
Oct 30-
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 54 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 27
Collection by
Jan 12
Jan 12-
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 95
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Jan 12
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Jan 12
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Jan 11
Jan 11