Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View
Comments Accepted to the main conference of ACL2022
期刊&会议
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
Comments Accepted to the main conference of ACL2022
Comments Accepted to the main conference of ACL2022
Comments Accepted by ACL 2022 (main conference)
Comments Findings of ACL 2022
Comments ACL 2022. Code & data available at https://github.com/xszheng2020/memorization
Comments The paper has been accepted to Findings of ACL 2022
Comments Accept to ACL 2022 main conference. 14 pages, 11 figures
Comments 13 pages, ACL 2022
Comments ACL 2022 main conference
Comments Accepted to appear at the ACL 2022 Main conference
Comments ACL 2022
Comments ACL 2022 Findings
Comments - Add additional results (Appendix D) - Cosmetic updates for camera-ready version ACL 2022
Comments Accepted at ACL 2022 Main conference. Camera-ready version
Comments Accepted to ACL 2019, camera-ready
Comments 9 pages, 7 figures, 3 tables, ACL 2022
Comments Accepted to ACL 2022 Findings
Comments Accept to ACL 2022 main conference. 19 pages, 12 figures, 8 tables
Comments ACL 2022 Main Conference
Comments ACL 2022
Journal ref Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021
Comments Accepted by ACL 2022 Findings
Comments Findings of ACL 2022
Comments 9 pages, 3 figures, Accepted to the Findings of ACL 2022
Comments Accepted at ACL 2022 main conference
Comments 9 pages, 2 figures, Accepted at ACL 2022
Comments Accepted to ACL 2022; 8 pages
Comments ACL 2022
Comments Accepted by findings of ACL 2022
Comments ACL 2022