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Comprehensive Evaluation of Large Language Model Responses: A Multi-Factor Scoring System
arXiv:2607.06940v1 Announce Type: new Abstract: The remarkable performance of large language models (LLMs) in linguistic tasks underscores an urgent need for comprehensive evaluation of their response quality. Prevailing methods, often confined to singular dimensions, fall short of capturing the full spectrum of model capabilities. This study introduces a multifactor scoring paradigm, integrating accuracy, conciseness, factual consistency, readability, and coherence, complemented by a graphical ...
arXiv cs.CL
·Yiming Gai, Junde Lu, Xuefei Huang
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