Hao Peng

activity

20242026

most citedProcess Reinforcement through Implicit Rewards

2 citations · 4 across the 9 of their papers we have counts for

collaborators

Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

What is Missing from AI Post-Training AI: An Empirical Analysis

Joy Jia Yin Lim, Xin Huang, Hao Peng +5

Large language model (LLM) agents can now post-train an LLM end-to-end, raising the prospect of recursive self-improvement (RSI). Yet this progress is measured by aggregate benchma…

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…

What is Missing from AI Post-Training AI: An Empirical Analysis

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