A Use-Case Specific Dataset for Measuring Dimensions of Responsible Performance in LLM-generated Text.
Alicia Sagae|Chia-Jung Lee|Sandeep Avula|Brandon Dang|Vanessa Murdock
| Anthology ID: | DBLP:conf/cikm/SagaeLAD025 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 6518-6522 |
| URL: | https://doi.org/10.1145/3746252.3761642 |
| DOI: | https://doi.org/10.1145/3746252.3761642 |
| DBLP: | conf/cikm/SagaeLAD025 |
| BibTeX: |
@inproceedings{sagae-2025-usecase,
author = {Alicia Sagae and
Chia-Jung Lee and
Sandeep Avula and
Brandon Dang and
Vanessa Murdock},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{A Use-Case Specific Dataset for Measuring Dimensions of Responsible Performance in LLM-generated Text}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {6518--6522},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761642},
doi = {https://doi.org/10.1145/3746252.3761642}
}