Lifan Yuan

most citedThe Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

1 citations · 1 across the 6 of their papers we have counts for

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cs.AI2025

Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark

Minhui Zhu, Minyang Tian, Xiaocheng Yang +61

While large language models (LLMs) with reasoning capabilities are progressing rapidly on high-school math competitions and coding, can they reason effectively through complex, ope…

cs.AI2025

From $f (x)$ and $g (x)$ to $f (g (x))$ : LLMs Learn New Skills in RL by Composing Old Ones

Lifan Yuan, Weize Chen, Yuchen Zhang +7

Does RL teach LLMs genuinely new skills, or does it merely activate existing ones? This question lies at the core of ongoing debates about the role of RL in LLM post-training. On o…

Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark

From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones

From $f (x)$ and $g (x)$ to $f (g (x))$ : LLMs Learn New Skills in RL by Composing Old Ones