activity
20242026
most citedReinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs

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

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2026

SMOPD: Multi-Reward Reinforcement Learning via Specialize-and-Merge Online Policy Distillation

Wen Wang, Jiahua Bao, Tu Yongsiqi +8

We aim to improve model performance in multi-reward reinforcement learning training process. Existing Group reward-Decoupled Normalization Policy Optimization (GDPO) has mitigated…