Papers by Sining Zhu

1 papers
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use (2025.acl-long)

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Challenge: Effective evaluation of multi-hop tool use is critical for analyzing the understanding, reasoning, and function-calling capabilities of large language models.
Approach: They propose a dataset that provides rigorous evaluation of multi-hop tool use.
Outcome: The proposed model achieves 49.04% accuracy across five model families.

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