DRInQ: Evaluating Conversational Implicature with Controlled Context Variation 事件

DRInQ: Evaluating Conversational Implicature with Controlled Context Variation arXiv:2605.24267v1 Announce Type: new Abstract: Human conversation relies heavily on conversational implicature, in which speakers convey meanings that are suggested rather than explicitly stated. Although recent large language models exhibit strong conversational fluency, they remain unreliable when interpretation depends on reasoning that integrates social and contextual cues, a process rarely articulated in text.