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

Authors

687

  1. JG
    Jianfeng Gao

    Microsoft (United States), United States

    9 publications · 998 citations

    9

    h-index

  2. ZR
    Zhaochun Ren

    Shandong University, China

    8 publications · 460 citations

    8

    h-index

  3. DH
    Dilek Hakkani‐Tür

    Microsoft (United States), United States

    8 publications · 401 citations

    8

    h-index

  4. HW
    Hua Wu

    Baidu (China), China

    8 publications · 527 citations

    8

    h-index

  5. ME
    Mihail Eric

    Stanford University, United States

    7 publications · 356 citations

    7

    h-index

1–5 of 687

Venues

  1. arXiv (Cornell University)

    Repository · 34 publications · 1.7K citations

    20

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 15 publications · 1.2K citations

    14

    h-index

  3. 9

    h-index

  4. 3

    h-index

  5. International Joint Conference on Artificial Intelligence

    Conference · 3 publications · 245 citations

    3

    h-index

1–5