Papers2

#Large Reasoning Models

Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning

Zhipeng Chen, Xiaobo Qin et al.Jan 31arXiv

This paper teaches a model to make its own helpful hints (sub-questions) and then use those hints to learn better with reinforcement learning that checks answers automatically.

#RLVR#Large Reasoning Models#Sub-question Guidance

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When Reasoning Meets Its Laws

Intermediate

Junyu Zhang, Yifan Sun et al.Dec 19arXiv

The paper proposes the Laws of Reasoning (LORE), simple rules that say how much a model should think and how accurate it can be as problems get harder.

#Large Reasoning Models#Laws of Reasoning#Compute Law

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