Author

Wen Wang

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Jul 2026

CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization

CoRT is proposed, a token-level credit weighting method for rubric-conditioned GRPO that uses counterfactual replay to rescore the same sampled response under the original rubric-conditioned prompt and a matched criteria-free prompt, and suggests that policy-internal counterfactual likelihood contrasts provide an effec...

Bo-Wen Zhang, Jun-Wei He, Wen Wang et al. · arXiv.org · 5 citations · ⚡1

Preprint Aug 2026

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

Specialize-and-Merge Online Policy Distillation (SMOPD) is proposed, a two-stage training method for multi-reward optimization that outperforms GDPO across 1.5B, 3B and 7B backbones.

Wen Wang, Jia-Hua Bao, Tu Yongsiqi et al. · 1 citation