Knowledge-grounded Dialogue
Knowledge-Grounded Dialogue is a type of dialogue system that integrates external structured or unstructured knowledge sources to generate contextually relevant and factually consistent responses, distinguishing itself from general dialogue systems by explicitly grounding conversational content in verifiable evidence beyond conversational history.
220
Publications
11.4K
Citations
687
Authors
194
Institutions
Publications per year
2017–2026
158
Parents
220
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Emily Dinan, Stephen Roller, Kurt Shuster et al. · arXiv (Cornell University) · 2018 · 481 citations · Full text
Retrieval Augmentation Reduces Hallucination in Conversation
Kurt Shuster, Spencer Poff, Moya Chen et al. · 2021 · 465 citations · Full text
A Knowledge-Grounded Neural Conversation Model
Marjan Ghazvininejad, Chris Brockett, Ming‐Wei Chang et al. · 2018 · 438 citations
1–5 of 220
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194
Tsinghua University
Beijing, China
13 h-index
51 publications
3K citations
Tencent (China)
Shenzhen, China
11 h-index
25 publications
1.2K citations

Peking University
Beijing, China
11 h-index
39 publications
1.5K citations

Chinese Academy of Sciences
Beijing, China
11 h-index
28 publications
1.4K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
24 publications
1.1K citations
Microsoft (United States)
Redmond, United States
10 h-index
23 publications
1.3K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
8 h-index
24 publications
878 citations

Harbin Institute of Technology
Harbin, China
8 h-index
21 publications
840 citations
1–8 of 194
Repository · 34 publications · 1.7K citations
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Conference · 15 publications · 1.2K citations
14
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Conference · 9 publications · 336 citations
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Conference · 3 publications · 69 citations
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Conference · 3 publications · 245 citations
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