most citedWTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models

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cs.CL2024

Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models

Yifan Wei, Xiaoyan Yu, Yixuan Weng +4

Large language models encapsulate knowledge and have demonstrated superior performance on various natural language processing tasks. Recent studies have localized this knowledge to…

cs.CL2024★ 1 cited

WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models

Kangyun Ning, Yisong Su, Xueqiang Lv +4

Although Large Language Models (LLMs) excel in NLP tasks, they still need external tools to extend their ability. Current research on tool learning with LLMs often assumes mandator…