Author

Xiao-An Xu

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Preprint Oct 2026

PerSPL: Personalized Semi-supervised Preference Learning

Personalized reward models require user-specific preference comparisons, but collecting such feedback is costly and provides only limited supervision for each user. At the same time, large pools of responses can be generated without user identities or preference labels, yet existing personalized reward models leave thi...

Xiao-An Xu, Ting-Han Wei, Jun-Cheng Dong et al. · 0 citations

#artificial intelligence Preprint Sep 2026

A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLM

A*-Thought-V2 is presented, a geometric dynamics of LLM guided framework that models CoT as a hidden-state trajectory and replaces hard deletion with an explicit-implicit interleaved latent architecture that reflects broader soft targets that encourage richer step-level feature learning.

Xiao-An Xu, Si-Yuan Liu, Shuo Wang et al. · 1 citation

#artificial intelligence Preprint Aug 2026

Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning

Group-relative residual calibration can incorporate verifier outcomes without discarding dense token-level guidance, and demonstrates that group-relative residual calibration can incorporate verifier outcomes without discarding dense token-level guidance.

Zhu Zhang, Ji-Xun Wang, Xiao-An Xu et al. · 3 citations