An empirical bayes framework for open-domain dialogue generation

• Main Authors: Lee, Jing Yang, Lee, Kong Aik, Gan, Woon-Seng
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2023
• 主題: Engineering::Electrical and electronic engineering; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Open-Domain Dialogue; Chatbot
• 在線閱讀: https://hdl.handle.net/10356/172415; https://gem-benchmark.com/workshop; https://2023.emnlp.org/program/workshops/
• 機構: Nanyang Technological University

To engage human users in meaningful conversation, open-domain dialogue agents are required to generate diverse and contextually coherent dialogue. Despite recent advancements, which can be attributed to the usage of pretrained language models, the generation of diverse and coherent dialogue remai...