Hanbin Wang

activity

20232025

most citedAdvancing LLM Reasoning Generalists with Preference Trees

5 citations · 8 across the 6 of their papers we have counts for

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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…

cs.AI2024★ 5 cited

Advancing LLM Reasoning Generalists with Preference Trees

Lifan Yuan, Ganqu Cui, Hanbin Wang +12

We introduce Eurus, a suite of large language models (LLMs) optimized for reasoning. Finetuned from Mistral-7B and CodeLlama-70B, Eurus models achieve state-of-the-art results amon…

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

Advancing LLM Reasoning Generalists with Preference Trees

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