Concepedia

Explanation Generation

Explanation Generation is a knowledge-based recommendation component that, as a formal process, produces human-interpretable justifications by explicitly linking inferred user preferences to specific factual or contextual attributes derived from structured domain knowledge.

514

Publications

24.4K

Citations

1.4K

Authors

390

Institutions

Publications per year

2017–2026

351

Parents

Publications

514

Explaining machine learning classifiers through diverse counterfactual explanations

Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan · 2020 · 1.1K citations · Full text

, , +13

Explainability for Large Language Models: A Survey

Haiyan Zhao, Hanjie Chen, Fan Yang et al. · ACM Transactions on Intelligent Systems and Technology · 2024 · 544 citations · Full text

, , +16

Examples are not enough, learn to criticize! Criticism for Interpretability

Been Kim, Rajiv Khanna, Oluwasanmi Koyejo · Neural Information Processing Systems · 2016 · 544 citations

, , +17

The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks

Alan Tickle, Robert Andrews, Mostefa Golea et al. · IEEE Transactions on Neural Networks · 1998 · 442 citations

, , +15

Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models

Sami Sarsa, Paul Denny, Arto Hellas et al. · 2022 · 440 citations · Full text

, , +17

1–5 of 514

Authors

1.4K

  1. JD
    Johanna D. Moore

    University of Edinburgh, United Kingdom

    13 publications · 879 citations

    12

    h-index

  2. YZ
    Yongfeng Zhang

    Rutgers, The State University of New Jersey, United States

    12 publications · 622 citations

    11

    h-index

  3. LC
    Li Chen

    Hong Kong Baptist University, Hong Kong SAR China

    9 publications · 708 citations

    9

    h-index

  4. SK
    Subbarao Kambhampati

    Arizona State University, United States

    7 publications · 171 citations

    7

    h-index

  5. CP
    Cécile Paris

    Commonwealth Scientific and Industrial Research Organisation, Australia

    6 publications · 406 citations

    6

    h-index

1–5 of 1.4K

Institutions

390

  1. University of Pittsburgh

    Pittsburgh, United States

    11 h-index

    19 publications

    864 citations

  2. University of Washington

    Seattle, United States

    11 h-index

    27 publications

    1.3K citations

  3. Rutgers, The State University of New Jersey

    New Brunswick, United States

    11 h-index

    25 publications

    1.7K citations

  4. Hong Kong Baptist University

    Hong Kong, Hong Kong

    10 h-index

    17 publications

    928 citations

  5. Tsinghua University

    Beijing, China

    10 h-index

    20 publications

    935 citations

  6. The University of Texas at Austin

    Austin, United States

    10 h-index

    20 publications

    1.5K citations

  7. Carnegie Mellon University

    Pittsburgh, United States

    10 h-index

    22 publications

    766 citations

  8. University College Dublin

    Dublin, Ireland

    8 h-index

    9 publications

    632 citations

1–8 of 390

Venues

  1. arXiv (Cornell University)

    Repository · 62 publications · 1.8K citations

    23

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 9 publications · 440 citations

    10

    h-index

  3. Expert Systems with Applications

    8 publications · 265 citations

    8

    h-index

  4. Knowledge-Based Systems

    7 publications · 433 citations

    7

    h-index

  5. IEEE Access

    4 publications · 444 citations

    5

    h-index

1–5