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

collaborators

Showing 2025Show all

2 papers · 1 filter

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.LG2025★ 2 cited

Process Reinforcement through Implicit Rewards

Ganqu Cui, Lifan Yuan, Zefan Wang +22

Dense process rewards have proven a more effective alternative to the sparse outcome-level rewards in the inference-time scaling of large language models (LLMs), particularly in ta…

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

Process Reinforcement through Implicit Rewards

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