Problem
Research questions and friction points this paper is trying to address.
Large Language Models
Transparency
Multi-Criteria Decision-Making
Analytic Hierarchy Process
Interpretability
Integrating the Analytic Hierarchy Process with Large Language Models for Transparent Multi-Criteria Decision-Making
🤖 AI Summary
研究通过结合层次分析法与大型语言模型，提出了一种端到端的方法以提高决策过程的透明度和与专家判断的一致性。
📝 Abstract
LLMs are increasingly employed in a wide range of decision-making tasks. However, the opacity of their internal reasoning makes it difficult to validate or interpret their outputs, and the need for interpretability becomes especially critical in high-stakes settings. This study examines the decision-making capabilities of LLMs through the Analytic Hierarchy Process (AHP), a classical and widely used multicriteria decision-making framework. We construct a new annotated benchmark based on AHP and propose the first end-to-end approach that enables LLMs to perform the complete AHP workflow. Experiments in real-world decision problems in the legal and higher-education ranking domains show that our method significantly improves alignment with expert judgments.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Analytic Hierarchy Process
Large Language Models
Transparent Multi-Criteria Decision-Making
End-to-End Approach
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