Refairmulate: A Large-Scale Dataset for Gender-Fair Query Reformulations.

Hai Son Le|Shirin Seyedsalehi|Morteza Zihayat|Ebrahim Bagheri


Anthology ID:DBLP:conf/sigir/LeSZB26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3260-3266
URL:https://doi.org/10.1145/3805712.3808606
DOI:https://doi.org/10.1145/3805712.3808606
DBLP:conf/sigir/LeSZB26
BibTeX:
@inproceedings{le-2026-refairmulate, author = {Hai Son Le and Shirin Seyedsalehi and Morteza Zihayat and Ebrahim Bagheri}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Refairmulate: A Large-Scale Dataset for Gender-Fair Query Reformulations}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {3260--3266}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808606}, doi = {https://doi.org/10.1145/3805712.3808606} }