Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented DialogueDownload PDF

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08 Mar 2022 (modified: 05 May 2023)NAACL 2022 Conference Blind SubmissionReaders: Everyone
Paper Link: https://openreview.net/forum?id=RNI5LO-axuw
Paper Type: Short paper (up to four pages of content + unlimited references and appendices)
Abstract: Building universal dialogue systems that operate across multiple domains/APIs and generalize to new ones with minimal overhead is a critical challenge. Recent works have leveraged natural language descriptions of schema elements to enable such systems; however, descriptions only indirectly convey schema semantics. In this work, we propose Show, Don't Tell, which prompts seq2seq models with a labeled example dialogue to show the semantics of schema elements rather than tell the model through descriptions. While requiring similar effort from service developers as generating descriptions, we show that using short examples as schema representations with large language models results in state-of-the-art performance on two popular dialogue state tracking benchmarks designed to measure zero-shot generalization - the Schema-Guided Dialogue dataset and the MultiWOZ leave-one-out benchmark.
Copyright Consent Signature (type Name Or NA If Not Transferrable): Raghav Gupta
Copyright Consent Name And Address: Google, 1600 Amphitheatre Parkway, Mountain View CA 94040, United States
Presentation Mode: This paper will be presented in person in Seattle
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