Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels

Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels Panatchakorn Anantaprayoon author Masahiro Kaneko author Naoaki Okazaki author 2024-05 text Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) Nicoletta Calzolari editor Min-Yen Kan editor Veronique Hoste editor Alessandro Lenci editor Sakriani Sakti editor Nianwen Xue editor ELRA and ICCL Torino, Italia conference publication anantaprayoon-etal-2024-evaluating https://aclanthology.org/2024.lrec-main.566/ 2024-05 6395 6408