Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models
Comments 9 pages (excluding references), accepted at ACL Findings 2023
期刊&会议
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
Comments 9 pages (excluding references), accepted at ACL Findings 2023
Comments Accepted to ACL 2023 Main Conference (Long Paper)
Comments Findings of the Association for Computational Linguistics: ACL 2023. 10 pages, 2 tables, 4 figures (20 pages, 8 tables, 7 figures including references and appendices)
Comments ACL 2023
Comments Accepted to ACL 2023 (Main conference)
Comments Findings of ACL 2023
Comments Accepted at ACL 2023 Findings
Comments ACL 2023
Comments 10 pages, accepted in main conference of ACL 2023
Comments Findings of ACL 2023 Camera Ready
Comments Paper accepted for publication at ACL 2023 Main; 10 pages, 7 appendix pages, 4 figures, 13 tables
Comments ACL 2023; Github: https://github.com/allenai/mslr-annotated-dataset
Comments To appear at ACL 2023 main conference
Comments 16 pages, 6 figures, 8 tables, appearing in Findings of the ACL: ACL 2023. This version compiled using pdfLaTeX-compatible Assamese script font. Assamese text may appear differently here than in official ACL 2023 proceedings
Comments Accepted by ACL 2023 (Findings)
Comments 11 pages, 2 figures, 8 tables, accepted as a long paper to ACL 203
Comments Accepted by ACL 2023
Comments Accepted by ACL 2023
Comments To appear at Findings of ACL 2023
Comments 9 pages, long paper at ACL 2023 proceedings
Comments ACL 2023, main conference
Comments Findings of the ACL 2023
Comments Accepted to Findings of ACL 2023
Comments 17 pages, 11 figures, to appear in Findings of the Association for Computational Linguistics 2023
Comments Accepted at ACL 2023. Code available at https://github.com/mpoemsl/kitmus
Comments ACL'23 Finding Accepted
Comments Accepted to ACL (Findings) 2023
Comments ACL'23
Comments Accepted to ACL 2023
Comments accepted to ACL23