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Shutong Wu

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#natural language process... Preprint Sep 2026

MemFold: Learning Compact Soft Memory for Long-Context Personalization via On-Policy Optimization

An assistant that serves the same user over a long horizon has to answer from what that user has revealed: which preferences still hold, which were revised, and which constraints apply now. Retaining that information is not the same as acting on it, and the two are usually optimized as if they were. Keeping the informa...

Jing-Xuan Wu, Yuzhe Yang, Yi-Qiao Huang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Interactive-Policy Distillation with Bidirectional Propose-and-Verify

On-policy distillation (OPD) trains a student model on its self-generated trajectories with dense token-level teacher feedback. However, naive OPD may suffer from teacher unanchoring, where the student's reasoning trajectory drifts far from the teacher, causing the teacher to be queried on states it would hardly visit...

Shu-Tong Wu, Xi-Wen Chen, B. Rappazzo et al. · 0 citations
#protein folding Preprint Aug 2026

Off-Manifold Collapse in Guided Protein Language Models

A cheap density prior is introduced over natural protein activations and keeps only the candidates that remain typical under it, a training-free post-hoc step the authors call Mahalanobis filtering that improves both the property score and the structural plausibility of the sequences it keeps at negligible cost, withou...

Shuibai Zhang, Xin-Chi Liu, Fred Zhangzhi Peng et al. · 0 citations

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