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
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