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Jian-Zhi Shen

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#machine learning Preprint Sep 2026

DeliveryGym: An RL Environment for Long-Horizon Embodied Agent Planning with Adaptive Curriculum

Executable environments enable LLM agents to learn from the consequences of their actions. For embodied agents, those consequences extend beyond whether the current task succeeds: completing a delivery can consume the time, energy, or money needed for later work. Learning to plan therefore requires environments that pr...

Haoqiang Kang, Yi-Ming Zhang, Yi-Yang Guo et al. · 1 citation

#natural language process... Preprint Sep 2026

HyperTrace: Hypothesis-Based Preference Tracing for Online LLM Personalization

Personalized language models aim to adapt responses to individual users, whose preferences are often latent and revealed gradually through interaction. Existing training-free methods rely on stored histories or retrieved memories, but they often struggle to reconcile long- term preferences with short-term topic-specifi...

Jian-Zhi Shen, Ke-Yu Mao, Ming-Hao Shao et al. · 0 citations