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arXiv · 2502.13149

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
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Abstract

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.

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Sapir Caduri, Anatoly Efros, Noam Kahlon, Danielle Cohen, Yoni Halpern, Ido Dagan. 2025-02-11. Bi-Fact: A Bidirectional Factorization-based Evaluation of Intent Extraction from UI Trajectories. https://arxiv.org/abs/2502.13149

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