Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative
Comments 18 pages, 4 figures
作者
Natural Language Processing
Comments 18 pages, 4 figures
Comments ICLR 2022 (spotlight presentation). Code is available at https://github.com/jxhe/unify-parameter-efficient-tuning
Comments ICLR 2022
Comments TACL 2021 (pre-MIT Press publication version)
Comments Accepted by ICSE 2022
Comments 13 pages
Comments EMNLP 2021. Update to fix typos. Code is at https://github.com/jxhe/efficient-knnlm
Comments Accepted to the Transactions of the Association for Computational Linguistics (TACL)
Comments NeurIPS 2021
Comments EMNLP 2021 camera-ready
Comments 47 pages, accepted to ACM Transactions on Software Engineering and Methodology
Comments Accepted to CoNLL 2021
Comments Accepted at EMNLP 2021
Comments EMNLP 2021 Findings
Comments EMNLP 2021
Comments EMNLP 2021 camera-ready
Comments Long paper accepted by EMNLP2021 main conference
Comments 17 pages to be published in USENIX Security '22
Comments EACL 2021
Comments Accepted to ACL 2021
Comments Website: http://pretrain.nlpedia.ai/
Comments Thirty-eighth International Conference on Machine Learning (ICML 2021)
Comments Accepted to TACL 2021, pre-MIT Press publication version
Comments ACL2021 Demo Track
Comments Accepted at ICML 2020
Comments Accepted by ICML2021
Comments ACL-IJCNLP 2021 camera-ready (long paper in main conference)