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HaluEval|语言模型评估数据集|幻觉检测数据集
收藏arXiv2023-10-23 更新2024-06-21 收录
下载链接：
https://github.com/RUCAIBox/HaluEval
下载链接
链接失效反馈资源简介：
HaluEval是由中国人民大学高瓴人工智能学院创建的大规模语言模型幻觉评估基准，包含35,000个人工标注的幻觉样本，用于评估大型语言模型在识别幻觉方面的性能。数据集涵盖了问答、知识驱动对话和文本摘要三个任务，通过自动生成和人工标注相结合的方式构建。HaluEval旨在帮助研究者理解语言模型在何种内容上容易产生幻觉，并探索减轻这一问题的方法，从而推动构建更有效和可靠的语言模型。
提供机构：
高瓴人工智能学院
创建时间：
2023-05-19
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