cavity 发表于 2025-3-26 21:10:08
http://reply.papertrans.cn/19/1855/185416/185416_31.pngCondescending 发表于 2025-3-27 03:24:37
http://reply.papertrans.cn/19/1855/185416/185416_32.png消灭 发表于 2025-3-27 05:36:43
http://reply.papertrans.cn/19/1855/185416/185416_33.pngCredence 发表于 2025-3-27 13:26:07
http://reply.papertrans.cn/19/1855/185416/185416_34.png正式演说 发表于 2025-3-27 16:26:52
Zhiwei Tang,Lingling Hu,Jianye Lia for machine learning. The work draws upon gender theory and sociolinguistics to systematically indicate levels of bias in textual training data and associated neural word embedding models, thus highlighting pathways for both removing bias from training data and critically assessing its impact in the context of search and recommender systems.corpuscle 发表于 2025-3-27 18:48:14
http://reply.papertrans.cn/19/1855/185416/185416_36.png意外的成功 发表于 2025-3-28 00:19:46
http://reply.papertrans.cn/19/1855/185416/185416_37.pngorthodox 发表于 2025-3-28 03:54:02
http://reply.papertrans.cn/19/1855/185416/185416_38.pngBlazon 发表于 2025-3-28 10:19:27
http://reply.papertrans.cn/19/1855/185416/185416_39.pngheirloom 发表于 2025-3-28 11:47:17
http://reply.papertrans.cn/19/1855/185416/185416_40.png