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} }