Adaptive Prompts

Adaptive Prompts is a computational framework within natural language processing that dynamically tailors prompt structures or contents based on contextual inputs, user interactions, or model performance to optimize task accuracy and learning efficiency.

67

Publications

5.1K

Citations

284

Authors

92

Institutions

Publications per year

2017–2026

53

Authors

284

  1. ZZ
    Zhengxia Zou

    Beihang University, China

    2 publications · 309 citations

    2

    h-index

  2. WD
    Walid Dahhane

    Mohamed I University, Morocco

    2 publications · 131 citations

    2

    h-index

  3. JY
    Jingkang Yang

    Nanyang Technological University, Singapore

    2 publications · 1.6K citations

    2

    h-index

  4. TT
    Tieniu Tan

    Institute of Automation, China

    2 publications · 57 citations

    2

    h-index

  5. JL
    Jéssica López Espejel

    2 publications · 131 citations

    2

    h-index

1–5 of 284

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 617 citations

    13

    h-index

  2. 2

    h-index

  3. Education Sciences

    1 publications · 32 citations

    1

    h-index

  4. SSRN Electronic Journal

    Repository · 1 publications · 52 citations

    1

    h-index

  5. 1

    h-index

1–5