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论文精选 65arXiv

Validity Without Ground Truth: What Stated-Preference Economics Offers the Evaluation of Language Models· 无真实标签的有效性

Many of the questions now put to large language models have no correct answer to score against: what a policy is worth, which option a user should choose, how to weigh competing values. Stated-preference economics has faced this problem for decades. It judges survey responses without knowing the true value, through a framework of validity and related concepts: content, construct, and criterion validity, reliability, incentive compatibility, and consequentiality. We argue that this framework is a general method for evaluating language models, and we set out what each concept means for LLM evaluation. We demonstrate the approach using a published water-quality stated preference economic valuation survey (Vossler et al. 2023) administered to six models. In this economic application, the valid

AI 解读论文

用陈述偏好经济学评估无真实标签的大型语言模型

核心方法
引入经济学中的有效性框架,包括内容、结构、标准有效性、可靠性、激励兼容性和重要性
适合谁读
研究者、工程师、产品
要解决的问题
如何评估没有正确答案的语言模型输出
关键实验
使用水质量调查问卷对六种语言模型进行评估
主要贡献
提出了一种新的评估语言模型方法,适用于无正确标签的场景
意义与局限
为语言模型在模糊领域(如政策评估、用户选择推荐)的应用提供评估标准,但需要更多领域验证其普适性
领域:cs.AI作者:Daniel Robert Kling Alexander、Catherine Louise Kling
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论文精选 65已解读

Simulated Control Evals· 模拟控制评估

Control evaluations measure whether safeguards can prevent an AI model from causing undesi…

领域:cs.AI作者:Jeffrey Olmo、David Zhang、Tyler Tracy
📎 arXiv🕒 10-23 01:26🔗 arxiv.org

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