FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System.
Yuhan Hu|Ziyu Lyu|Lu Bai|Lixin Cui
| Anthology ID: | DBLP:conf/sigir/HuL0C25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 3964-3968 |
| URL: | https://doi.org/10.1145/3726302.3730145 |
| DOI: | https://doi.org/10.1145/3726302.3730145 |
| DBLP: | conf/sigir/HuL0C25 |
| BibTeX: |
@inproceedings{hu-2025-fairwork,
author = {Yuhan Hu and
Ziyu Lyu and
Lu Bai and
Lixin Cui},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {3964--3968},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730145},
doi = {https://doi.org/10.1145/3726302.3730145}
}