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TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles
Feb. 16, 2024, 5:47 a.m. | Yinhong Liu, Yimai Fang, David Vandyke, Nigel Collier
cs.CL updates on arXiv.org arxiv.org
Abstract: In light of recent advances in large language models~(LLMs), the expectations for the next generation of virtual assistants include enhanced naturalness and adaptability across diverse usage scenarios. However, the creation of high-quality annotated data for Task-Oriented Dialog~(TOD) is recognized to be slow and costly. To address these challenges, we introduce Task-Oriented Automatic Dialogs~(TOAD), a novel and scalable TOD dataset along with its automatic generation pipeline. The TOAD dataset simulates realistic app context interaction and provide …
abstract adaptability advances annotated data arxiv assistants cs.cl data dialog diverse language language models large language large language models light llms next quality type usage virtual virtual assistants
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