Dialogue Systems
Dialogue Systems is a computational system designed to engage in natural language interaction with users by understanding, generating, and managing conversational turns to achieve specific communicative goals.
11.4K
Publications
608.4K
Citations
22.8K
Authors
3.4K
Institutions
Publications per year
2017–2026
5.9K
11.4K
Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang et al. · arXiv (Cornell University) · 2022 · 4.3K citations · Full text
Emanuel A. Schegloff, Harvey Sacks · Semiotica · 1973 · 4.3K citations
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron, Louis Martin, Kevin H. Stone et al. · arXiv (Cornell University) · 2023 · 2.6K citations · Full text
1–5 of 11.4K
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3.4K
Carnegie Mellon University
Pittsburgh, United States
78 h-index
899 publications
56.4K citations
Microsoft (United States)
Redmond, United States
78 h-index
666 publications
86K citations
University of Cambridge
Cambridge, United Kingdom
57 h-index
553 publications
50.9K citations

University of Edinburgh
Edinburgh, United Kingdom
56 h-index
420 publications
24.9K citations
Stanford University
Stanford, United States
54 h-index
386 publications
42.1K citations
Massachusetts Institute of Technology
Cambridge, United States
53 h-index
350 publications
29.5K citations
Google (United States)
Mountain View, United States
50 h-index
387 publications
39K citations
University of Washington
Seattle, United States
50 h-index
275 publications
22K citations
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Repository · 856 publications · 46.4K citations
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Conference · 192 publications · 11.1K citations
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64 publications · 4.5K citations
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65 publications · 2.9K citations
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33 publications · 4.1K citations
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