Author

Tian-Jin Ni

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Review Open access Sep 2026

Foundation-Model-Assisted Reward Design for Reinforcement Learning: A Review of Reward Program Synthesis, Multimodal Feedback, and Trustworthiness

Reward functions determine what reinforcement learning agents ultimately optimize, yet reward design for complex tasks has traditionally relied on extensive domain expertise and iterative engineering. Recent large language models and vision–language foundation models have introduced new mechanisms for interpreting task...

Wei Zhu, Jin-Yin Bai, Rui Tang et al. · Information · 0 citations

Open access Aug 2026

Decoupled Decision-Stage Awareness for Conversational Recommendation with Large Language Model Agents in Information Analysis

Information analysis recommendation differs from conversational recommender systems (CRS) because relevance changes with the decision phase. The same event may support observation, interpretation, option selection, or action feedback, yet most large language model (LLM)-agent CRS represent dialogue state as intent and...

Chao-Yang Li, Yiwei Lu, Bo Huang et al. · Electronics · 0 citations

Open access Aug 2026

ICG-Restore: Intent-Constrained, Graph-Enhanced LLM Planning with Minimal-Edit Repair for Post-Disaster Emergency Communication Recovery

“minimal-edit” is a descriptive label for a bounded local repair principle that prioritizes less disruptive corrections in a bounded local repair principle that prioritizes less disruptive corrections in post-disaster emergency communication recovery.

Jin-Yin Bai, Wei Zhu, Xiang-Chen Wang et al. · Applied Informatics · 0 citations