Alignment Studies

Alignment Studies is a scholarly research domain within artificial intelligence that investigates methods, frameworks, and theoretical constructs for ensuring language models' behaviors are congruent with human intentions, values, and ethical principles.

91

Publications

10.8K

Citations

285

Authors

152

Institutions

Publications per year

2017–2026

23

Authors

285

  1. NL
    Norman L. Webb

    University of Wisconsin–Madison, United States

    4 publications · 591 citations

    4

    h-index

  2. ZW
    Zhiguo Wang

    IBM (United States), United States

    2 publications · 280 citations

    2

    h-index

  3. YF
    Yansong Feng

    Peking University, China

    2 publications · 280 citations

    2

    h-index

  4. KX
    Kun Xu

    Beijing University of Posts and Telecommunications, China

    2 publications · 280 citations

    2

    h-index

  5. NM
    Noreen M. Webb

    University of California, Los Angeles, United States

    2 publications · 52 citations

    2

    h-index

1–5 of 285

Venues

  1. Applied Measurement in Education

    4 publications · 294 citations

    4

    h-index

  2. Educational Measurement Issues and Practice

    EM · 4 publications · 235 citations

    4

    h-index

  3. Educational Researcher

    ER · 3 publications · 386 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 89 citations

    2

    h-index

  5. Journal of the Association for Information Systems

    JAIS · 2 publications · 548 citations

    2

    h-index

1–5