Author

Yu-Fei Zhang

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Preprint Sep 2026

Tool Retrievers Are Underestimated: Annotation Expansion Reveals True Capability

In open-world scenarios with massive and evolving tool repositories, tool-augmented large language models rely on a retriever to surface relevant tools for a given query. Because such repositories often contain many tools that implement the same functionality, a single query can often be resolved by several distinct bu...

Yan-Yu Zhu, Chen-Heng Zhang, Shao-Shen Chen et al. · 0 citations

#artificial intelligence Conference Jan 2026

Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents

Temporal Semantic Memory is proposed, a memory framework that models semantic time for point-wise memory and supports the construction and utilization of durative memory and incorporates the query's temporal intent on the semantic timeline.

Miao Su, Yu-Can Guo, Zhong-Ni Hou et al. · Annual Meeting of the Associ... · 12 citations

#artificial intelligence Preprint Aug 2026

ATLAS: Dual-Horizon Diagnostic Evaluation for Industrial Tool-Use Agents

This work proposes ATLAS, a dual-horizon diagnostic evaluation framework for industrial tool-use agents that instantiates LLM judge interfaces as executable signals with explicit evidence scopes and decision boundaries, and evaluates ATLAS on Meituan Xiaotuan production traffic.

Wei Chen, Pei-Lun Zhou, Zhao-Yu Hu et al. · 0 citations