Understanding the Influence of Synthetic Data for Text Embedders
机构 * Carnegie Mellon University(卡内基梅隆大学) ; Mila – Quebec AI Institute, McGill University(蒙特利尔AI研究院,麦吉尔大学) ; Canada CIFAR AI Chair(加拿大CIFAR人工智能主席)
Comments ACL Findings 2025
期刊&会议
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
机构 * Carnegie Mellon University(卡内基梅隆大学) ; Mila – Quebec AI Institute, McGill University(蒙特利尔AI研究院,麦吉尔大学) ; Canada CIFAR AI Chair(加拿大CIFAR人工智能主席)
Comments ACL Findings 2025
Comments Accepted and published by EMNLP 2023. Details can be found in https://aclanthology.org/2023.emnlp-main.259
Journal ref In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 4268-4280, Singapore. Association for Computational Linguistics
机构 * Indian Institute of Technology Bombay(印度理工学院班加罗尔分校) ; IBM Research India(IBM印度研究院) ; University of Texas at Austin(德克萨斯大学奥斯汀分校)
Comments Accepted in ACL 2025 Main, 14 pages, 3 Figures, 5 Tables
机构 * Technion – Israel Institute of Technology(技术离子–以色列理工学院)
Comments ACL 2025 Findings, 24 pages, 4 figures