Mix-initiative response generation with dynamic prefix tuning

• Main Authors: NIE, Yuxiang, HUANG, Heyan, MAO, Xian-Ling, LIAO, Lizi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Dynamic prefix tuning framework; Response generation model; Dialogue systems; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/9701; https://ink.library.smu.edu.sg/context/sis_research/article/10701/viewcontent/2024.naacl_long.485.pdf
• Institution: Singapore Management University

Mixed initiative serves as one of the key factors in controlling conversation directions. For a speaker, responding passively or leading proactively would result in rather different responses. However, most dialogue systems focus on training a holistic response generation model without any distincti...