Multi-turn Conversation Modeling
Multi-Turn Conversation Modeling is a computational framework in dialogue systems that captures and predicts the dynamic evolution of conversational states across sequential interactions by jointly modeling contextual dependencies, speaker intentions, and response coherence beyond isolated utterance pairs.
80
Publications
5.7K
Citations
346
Authors
97
Institutions
Publications per year
2017–2026
62
Parents
80
Retrieval Augmentation Reduces Hallucination in Conversation
Kurt Shuster, Spencer Poff, Moya Chen et al. · 2021 · 465 citations · Full text
Towards a Human-like Open-Domain Chatbot
Daniel Adiwardana · arXiv (Cornell University) · 2020 · 267 citations · Full text
Identifying agreement and disagreement in conversational speech
Michel Galley, Kathleen McKeown, Julia Hirschberg et al. · 2004 · 217 citations · Full text
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97

Chinese Academy of Sciences
Beijing, China
6 h-index
15 publications
589 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
11 publications
304 citations
Institute of Computing Technology
Beijing, China
4 h-index
7 publications
357 citations

Peking University
Beijing, China
4 h-index
15 publications
424 citations
Microsoft (United States)
Redmond, United States
4 h-index
9 publications
532 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
6 publications
465 citations
Tencent (China)
Shenzhen, China
3 h-index
8 publications
266 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
7 publications
1.4K citations
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Repository · 18 publications · 876 citations
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Conference · 8 publications · 376 citations
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1 publications · 19 citations
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1 publications · 145 citations
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1 publications · 74 citations
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