理解目标导向对话中的共同基础错位：基于 Ubuntu 聊天日志的案例研究
Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs
AI总结：
本文以 Ubuntu IRC 技术支持日志为案例，分析共同基础错位导致的对话摩擦及其与任务成功的关系，并评估 LLM 对不同难度摩擦实例的识别能力。
摘要：
尽管人们普遍认为维持共同基础对对话成功具有作用，但此前很少有研究将对话接地与任务导向对话的成功联系起来。我们研究了 Ubuntu IRC 数据集中的接地失败，在该数据集中，参与者使用纯文本沟通来解决技术问题。我们发现，对话流程的中断通常源于共同基础的错位，这种错位由参与者所持信念和假设的分歧所驱动。我们将这些中断称为对话摩擦，它们与任务成功显著相关。我们发现，尽管 LLM 能够识别明显的对话摩擦案例，但它们在处理需要语用推理或领域特定推理的更微妙、更依赖上下文的实例时存在困难。
英文摘要：
While it is commonly accepted that maintaining common ground plays a role in conversational success, little prior research exists connecting conversational grounding to success in task-oriented conversations. We study failures of grounding in the Ubuntu IRC dataset, where participants use text-only communication to resolve technical issues. We find that disruptions in conversational flow often stem from a misalignment in common ground, driven by a divergence in beliefs and assumptions held by participants. These disruptions, which we call conversational friction, significantly correlate with task success. We find that although LLMs can identify overt cases of conversational friction, they struggle with subtler and more context-dependent instances requiring pragmatic or domain-specific reasoning.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
