English

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

Computation and Language 2022-10-18 v2

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.

Keywords

Cite

@article{arxiv.2204.04327,
  title  = {Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue},
  author = {Raghav Gupta and Harrison Lee and Jeffrey Zhao and Abhinav Rastogi and Yuan Cao and Yonghui Wu},
  journal= {arXiv preprint arXiv:2204.04327},
  year   = {2022}
}

Comments

NAACL 2022

R2 v1 2026-06-24T10:42:56.581Z