Concepedia

Prompt-based Elicitation

Prompt-Based Elicitation is a methodological technique in data collection or model interrogation that uses structured or natural language prompts as stimuli to systematically extract latent knowledge, responses, or behaviors from human informants or computational models.

25

Publications

1.7K

Citations

58

Authors

27

Institutions

Publications per year

2017–2026

20

Parents

Publications

25

Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs

Wang Li, Xi Chen, Xiangwen Deng et al. · npj Digital Medicine · 2024 · 336 citations · Full text

, , +11

Extracting accurate materials data from research papers with conversational language models and prompt engineering

Maciej P. Polak, Dane Morgan · Nature Communications · 2024 · 302 citations · Full text

, , +17

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Pranab Sahoo, Ayush Singh, Sriparna Saha et al. · arXiv (Cornell University) · 2024 · 197 citations · Full text

, , +16

Prompt Engineering For ChatGPT: A Quick Guide To Techniques, Tips, And Best Practices

Sabit Ekin · ASEE Journal of Engineering Technology · 2023 · 107 citations · Full text

, , +16

Large Language Models Are Reasoning Teachers

Namgyu Ho, Laura Schmid, Se-Young Yun · 2023 · 106 citations · Full text

, , +15

1–5 of 25

Authors

58

  1. SE
    Sabit Ekin

    Oklahoma State University, United States

    3 publications · 258 citations

    3

    h-index

  2. MP
    Maciej P. Polak

    Wrocław University of Science and Technology, Poland

    2 publications · 318 citations

    2

    h-index

  3. IY
    Ikuya Yamada

    Osaka Prefecture University, Japan

    2 publications · 40 citations

    2

    h-index

  4. RR
    Ryokan Ri

    The University of Tokyo, Japan

    2 publications · 40 citations

    2

    h-index

  5. YT
    Yoshimasa Tsuruoka

    The University of Tokyo, Japan

    2 publications · 40 citations

    2

    h-index

1–5 of 58

Institutions

27

  1. Mitchell Institute

    Portland, United States

    3 h-index

    3 publications

    258 citations

  2. Texas A&M University

    College Station, United States

    3 h-index

    3 publications

    258 citations

  3. University of Wisconsin–Madison

    Madison, United States

    2 h-index

    4 publications

    636 citations

  4. University at Buffalo, State University of New York

    Buffalo, United States

    1 h-index

    1 publications

    14 citations

  5. UNSW Sydney

    Sydney, Australia

    1 h-index

    1 publications

    24 citations

  6. University of Illinois Urbana-Champaign

    Urbana, United States

    1 h-index

    2 publications

    28 citations

  7. Tsinghua University

    Beijing, China

    1 h-index

    2 publications

    672 citations

  8. Sichuan University

    Chengdu, China

    1 h-index

    6 publications

    2K citations

1–8 of 27

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 267 citations

    5

    h-index

  2. 1

    h-index

  3. npj Digital Medicine

    1 publications · 336 citations

    1

    h-index

  4. Computers & Education

    1 publications · 53 citations

    1

    h-index

  5. Electronics

    1 publications · 76 citations

    1

    h-index

1–5