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Pei-Xin Wang

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Preprint Aug 2026

A Token-Level Analysis of Sampled-Token Reverse-KL On-Policy Distillation

A gradient-level characterization of reverse-KL OPD trained with the K2 estimator, with Surprise-aware Reweighting (SuRe), a detached, bounded weighting rule that further amplifies this existing allocation.

Bing Shao, Jia-Zheng Zhang, Long Ma et al. · 8 citations
Preprint Aug 2026

CAFE: Self-Improving Search Agents Need Co-Evolving Feedback

CAFE (Coupled Agent--Feedback Evolution), a framework in which a shared-parameter model alternates between search-agent and critic roles, is introduced, suggesting that a self-improving search agent needs feedback that co-evolves with the policy it guides.

Bo-Yang Liu, Sen-Jie Jin, Pei-Xin Wang et al. · 2 citations

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