Prompting and evaluating large language models for proactive dialogues: Clarification, target-guided, and non-collaboration

• Main Authors: DENG, Yang, LIAO, Lizi, CHEN, Liang, WANG, Hongru, LEI, Wenqiang, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Comprehensive analysis; Conversational agents; Conversational systems; Empirical findings; In contexts; Language model; Model-based OPC; Planning capability; Proactivity; Response generation; Databases and Information Systems; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/9116; https://ink.library.smu.edu.sg/context/sis_research/article/10119/viewcontent/Prompting.pdf
• Institution: Singapore Management University

Conversational systems based on Large Language Models (LLMs), such as ChatGPT, show exceptional proficiency in context understanding and response generation. However, they still possess limitations, such as failing to ask clarifying questions to ambiguous queries or refuse users' unreasonable r...