4 papers · 1 filter
Learning to Optimize through Solver-Grounded Self-Play
Xia Jiang, Yaoxin Wu, Chenyu Zhou +3
Optimization modeling is central to many decision-making scenarios, but traditionally requires extensive domain expertise. While Large Language Models (LLMs) have shown promise in…
Coverage, Not Targeting: A Structural Regime in Multi-Turn Agent Credit Assignment
Chenyu Zhou, Qiliang Jiang, Shuning Wu +1
Multi-turn agentic RL increasingly treats credit assignment as a targeting problem: given a terminal verifiable reward, per-turn methods localize credit onto the turns that mattere…
More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges
Chenyu Zhou
Training a language model against its own reference-free judgments (the premise of self-rewarding, self-play, and LLM-as-a-judge pipelines) assumes a model's verdict on a shown ans…
Mechanism-Guided Selective Unlearning for RLVR-Induced Reasoning
Chenyu Zhou, Qiliang Jiang, Shuning Wu +1
We propose MAST (Mechanism-Aligned Selective Targeting), a mechanism-guided method for unlearning RLVR-induced reasoning with substantially lower collateral damage than standard fu…