Plug-and-play policy planner for large language model powered dialogue agents

• Main Authors: DENG, Yang, ZHANG, Wenxuan, LAM, Wai, NG, See-Kiong, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Databases and Information Systems; Programming Languages and Compilers
• Online Access: https://ink.library.smu.edu.sg/sis_research/9115; https://ink.library.smu.edu.sg/context/sis_research/article/10118/viewcontent/2311.00262v2.pdf
• Institution: Singapore Management University

Proactive dialogues serve as a practical yet challenging dialogue problem in the era of large language models (LLMs), where the dialogue policy planning is the key to improving the proactivity of LLMs. Most existing studies enable the dialogue policy planning of LLMs using various prompting schemes...