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Nov, 2023
融合评估器与LLMs:Fusion-Eval
Fusion-Eval: Integrating Evaluators with LLMs
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Lei Shu, Nevan Wichers, Liangchen Luo, Yun Zhu, Yinxiao Liu...
TL;DR
利用大型语言模型进行评估的新方法“Fusion-Eval”在SummEval数据集上取得了0.96的Spearman相关性,超过了其他评估方法,在LLM评估领域树立了新的标准。
Abstract
evaluating large language models
(LLMs) is a complex task, especially considering the intricacies of natural language understanding and the expectations for high-level reasoning. Traditional
evaluations
typically
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