Show, Don't Tell: Demonstrations Outperform Descriptions For Schema-guided Task-oriented Dialogue · The Large Language Model Bible Contribute to LLM-Bible

Show, Don't Tell: Demonstrations Outperform Descriptions For Schema-guided Task-oriented Dialogue

Gupta Raghav, Lee Harrison, Zhao Jeffrey, Rastogi Abhinav, Cao Yuan, Wu Yonghui. In Proceedings of the 2022

[Paper]    
Applications Prompting RAG Tools

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.

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