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Xin-Yu Che

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#artificial intelligence Preprint Sep 2026

Does Learning to Predict the World Help Agents Act? Auditing World-Model Post-Training

Predicting how an environment will change before acting is a natural route to better decision making for agents. Recent post-training methods therefore require agents to predict the next observation and turn that prediction into a reward or a direct supervision signal, which is called world model. Existing next-observa...

Xin-Yu Che, Hang Yan, Yan-Chen Liu et al. · 0 citations

Preprint Aug 2026

QUMem: Personalized Memory for Query-Conditioned User-State Inference in LLM Agents

A structured memory framework for query-conditioned user-state inference for long-term personalization that achieves state-of-the-art performance on both PersonaMem and KnowU-Bench, demonstrating the effectiveness of query-conditioned user-state inference for long-term personalization.

Heng Wang, Yifei Li, Lingling Zhang et al. · 0 citations