June 4, 2024, 4:53 a.m. | Ji-Lun Peng, Sijia Cheng, Egil Diau, Yung-Yu Shih, Po-Heng Chen, Yen-Ting Lin, Yun-Nung Chen

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.00936v1 Announce Type: new
Abstract: LLMs have gotten attention across various research domains due to their exceptional performance on a wide range of complex tasks. Therefore, refined methods to evaluate the capabilities of LLMs are needed to determine the tasks and responsibility they should undertake. Our study mainly discussed how LLMs, as useful tools, should be effectively assessed. We proposed the two-stage framework: from ``core ability'' to ``agent'', clearly explaining how LLMs can be applied based on their specific capabilities, …

abstract arxiv attention capabilities cs.cl domains evaluation llm llms performance research responsibility study survey tasks tools type

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