论文标题
节目，不要说：演示表现优于架构指导的以任务为导向的对话的描述
Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue
论文作者
论文摘要
建立跨多个域/API运行并推广到具有最小开销的新的对话系统是一个至关重要的挑战。最近的作品利用了模式元素的自然语言描述来实现此类系统。但是，描述仅间接传达模式语义。在这项工作中，我们提出了Show，Do not Delling，哪个提示了具有标记为示例对话的SEQ2SEQ模型，以显示模式元素的语义，而不是通过描述告诉模型。尽管需要服务开发人员的类似努力作为生成描述，但我们表明，使用简短的示例作为具有大语言模型的模式表示形式，在两个流行的对话状态跟踪基准中，旨在衡量零拍传输的基准 - 架构引导的对话数据集和Multiwoz保留的Benchmark。
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.
