Persona-based Dialogue
Persona-Based Dialogue is a type of dialogue system framework that integrates predefined persona attributes to generate contextually consistent and personalized responses, distinguishing itself from general dialogue models by explicitly modeling speaker identity and behavioral traits to enhance conversational coherence and realism.
76
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4.2K
Citations
219
Authors
80
Institutions
Publications per year
2017–2026
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A Persona-Based Neural Conversation Model
Jiwei Li, Michel Galley, Chris Brockett et al. · 2016 · 911 citations · Full text
What makes a good conversation? How controllable attributes affect human judgments
Abigail See, Stephen Roller, Douwe Kiela et al. · 2019 · 238 citations · Full text
Training Millions of Personalized Dialogue Agents
Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison et al. · 2018 · 215 citations · Full text
A Persona-Based Neural Conversation Model
Jiwei Li, Michel Galley, Chris Brockett et al. · arXiv (Cornell University) · 2016 · 181 citations · Full text
Recipes for Building an Open-Domain Chatbot
Stephen Roller, Emily Dinan, Naman Goyal et al. · 2021 · 171 citations · Full text
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Harbin Institute of Technology
Harbin, China
9 h-index
28 publications
1.7K citations
Nanyang Technological University
Singapore, Singapore
5 h-index
11 publications
521 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
2 publications
31 citations
Tencent (China)
Shenzhen, China
4 h-index
10 publications
470 citations
University of Southern California
Los Angeles, United States
3 h-index
3 publications
68 citations
Meta (Israel)
Tel Aviv, Israel
3 h-index
11 publications
1.1K citations
Microsoft (United States)
Redmond, United States
3 h-index
6 publications
180 citations
Tsinghua University
Beijing, China
3 h-index
4 publications
193 citations
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Repository · 19 publications · 676 citations
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Conference · 4 publications · 262 citations
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Repository · 1 publications · 15 citations
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1 publications · 16 citations
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