Papers by MengSong Wu

1 papers
NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models (2025.coling-main)

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Challenge: Existing benchmarks on nested tool learning are lacking relevant data instances.
Approach: They propose a method to construct large-scale nested tool calls with different nesting structures using a large-quality dataset.
Outcome: The proposed method can be used to evaluate the nested tool learning abilities of large language models (LLMs) in real-world applications.

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