STYLE: Improving domain transferability of asking clarification questions in large language model powered conversational agents

• المؤلفون الرئيسيون: CHEN, Yue, HUANG, Chen, DENG, Yang, LEI, Wenqiang, JIN, Dingnan, LIU, Jia, CHUA, Tat-Seng
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2024
• الموضوعات: Databases and Information Systems; Programming Languages and Compilers
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/9234; https://ink.library.smu.edu.sg/context/sis_research/article/10234/viewcontent/2024.findings_acl.632.pdf

Equipping a conversational search engine with strategies regarding when to ask clarification questions is becoming increasingly important across various domains. Attributing to the context understanding capability of LLMs and their access to domain-specific sources of knowledge, LLM-based clarificat...