most citedMulti-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic Missions

1 citations · 1 across the 4 of their papers we have counts for

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cs.AI2025

-Bench: The Things Real Disturbing LLM based Agent in Multi-Tasking

Peijie Yu, Yifan Yang, Jinjian Li +4

Agents based on large language models leverage tools to modify environments, revolutionizing how AI interacts with the physical world. Unlike traditional NLP tasks that rely solely…

cs.AI2025★ 1 cited

Multi-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic Missions

Peijie Yu, Yifan Yang, Jinjian Li +4

Large language models (LLMs) demonstrate strong potential as agents for tool invocation due to their advanced comprehension and planning capabilities. Users increasingly rely on LL…