Bi-Fact: A Bidirectional Factorization-based Evaluation of Intent Extraction from UI Trajectories
Sapir Caduri, Anatoly Efros, Noam Kahlon, Danielle Cohen, Yoni Halpern, Ido Dagan
原文摘要
Evaluating intent extraction from GUIs demands accurate, fine-grained metrics. This paper introduces Bi-Fact, a novel method that decomposes intents into atomic facts and performs bidirectional comparisons to assess precision and recall. Experiments demonstrate Bi-Fact's superior correlation with human judgments compared to existing metrics, establishing a more robust evaluation framework for UI-driven intent understanding.
cs.AI