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Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom
May 1, 2024, 4:47 a.m. | Shisen Yue, Siyuan Song, Xinyuan Cheng, Hai Hu
cs.CL updates on arXiv.org arxiv.org
Abstract: Understanding the non-literal meaning of an utterance is critical for large language models (LLMs) to become human-like social communicators. In this work, we introduce SwordsmanImp, the first Chinese multi-turn-dialogue-based dataset aimed at conversational implicature, sourced from dialogues in the Chinese sitcom $\textit{My Own Swordsman}$. It includes 200 carefully handcrafted questions, all annotated on which Gricean maxims have been violated. We test eight close-source and open-source LLMs under two tasks: a multiple-choice question task and an …
arxiv case case study chinese conversational cs.cl language language models large language large language models study type
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