An empirical bayes framework for open-domain dialogue generation

An empirical bayes framework for open-domain dialogue generation

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...

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Bibliographic Details
Main Authors: Lee, Jing Yang, Lee, Kong Aik, Gan, Woon-Seng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Open-Domain Dialogue
Chatbot
Online Access:https://hdl.handle.net/10356/172415
https://gem-benchmark.com/workshop
https://2023.emnlp.org/program/workshops/

Internet

https://hdl.handle.net/10356/172415
https://gem-benchmark.com/workshop
https://2023.emnlp.org/program/workshops/

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