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Author

Li-Ye Shi

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#natural language process... Preprint Oct 2026

TEM: Temporal State Tracking Memory for Large Language Model Agents

An agent's memory must remain useful as information changes across conversations. A new fact may replace an earlier value without making that value irrelevant to a later question. We present Temporal State Tracking Memory (TEM), a training-free framework for tracking these changes. TEM stores facts as versioned records...

Peng Song, Yun-Kai Zhuang, Li-Ye Shi · 0 citations
Review Open access Sep 2026

LRGCL: LLM-refined graph contrastive learning for review-based recommendation

LRGCL is proposed, an LLM-Refined Graph Contrastive Learning model for personalized recommendation that introduces a semantic-preserving contrastive objective in which key interaction edges are identified and preserved in augmented graph views, while only non-critical edges are dropped.

Li-Ye Shi, Peng-Fei Shao, Shao-Zhong Zhang et al. · 0 citations

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