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

Publications

4.2K

Citations

219

Authors

80

Institutions

Publications per year

2017–2026

65

Authors

219

  1. HS
    Haoyu Song

    Harbin Institute of Technology, China

    7 publications · 423 citations

    7

    h-index

  2. WZ
    Weinan Zhang

    Harbin Institute of Technology, China

    6 publications · 294 citations

    6

    h-index

  3. TL
    Ting Liu

    Harbin Institute of Technology, China

    5 publications · 314 citations

    5

    h-index

  4. MG
    Michel Galley

    Microsoft (United States), United States

    5 publications · 1.2K citations

    5

    h-index

  5. CB
    Chris Brockett

    Microsoft (United States), United States

    5 publications · 1.2K citations

    5

    h-index

1–5 of 219

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 676 citations

    15

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 262 citations

    5

    h-index

  3. 1

    h-index

  4. Figshare

    Repository · 1 publications · 15 citations

    1

    h-index

  5. Acta Oncologica

    1 publications · 16 citations

    1

    h-index

1–5