Author

Hai-Tao Zheng

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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 Preprint Sep 2026

Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking

Agent benchmarks are substantially more costly to evaluate than conventional LLM benchmarks. Benchmark compression is therefore a natural solution, yet existing methods primarily model redundancy in task--model final-score distributions, which is important in agentic evaluation. To address this limitation, we analyze l...

Xin-Shuai Guo, Jun-Jie Wu, Dolly Deng et al. · 0 citations