Papers with Interpretable Satisfaction Estimation

1 papers
LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue (2025.naacl-long)

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Challenge: Existing methods for estimating user satisfaction with dialogue systems face challenges due to limited understanding of underlying reasons for user dissatisfaction and high costs of annotating user intentions.
Approach: They propose an interpretable framework for effective user satisfaction prediction . they propose to align utterances with strategies and large language models to retrieve relevant features from utterations.
Outcome: The proposed framework achieves state-of-the-art performance on three benchmarks for the USE task.

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