Author

Mu-Yang Li

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#machine learning Preprint Sep 2026

PR-OPD: Privileged Representation On-policy Self-Distillation for Agentic Reinforcement Learning

Language-model agents are usually trained by reinforcement learning from one reward per episode, and privileged self-distillation enriches it by letting the same policy, given a skill, teach its skill-free self through token probabilities. However, we identify two phenomena that question this channel. Invisible Advanta...

Mu-Yang Li, Jie Yang, Zheng-Yu Fang et al. · 1 citation · ⚡1

#artificial intelligence Preprint Sep 2026

Are Human-Aligned Models Models of Humans? A Turing-Test Gap in Preference Alignment

It is shown that preference alignment preserves the human response distribution only under a restrictive condition, and no consistent evidence that real human preferences satisfy it, and human-likeness is established as an explicit dimension of alignment rather than something assumed to follow from preference alignment...

Su-Qin Yuan, Runqi Lin, Mu-Yang Li et al. · 0 citations

Jul 2026

Early Stopping Without Validation Data in Weakly Supervised Learning.

Label Wave is proposed, which does not require validation data for selecting the desired model across various weakly supervised learning paradigms, including learning with noisy labels (LNL), positive-unlabeled learning, and unlabeled-unlabeled learning.

Suqin Yuan, Muyang Li, Lei Feng et al. · IEEE Transactions on Pattern... · 0 citations