An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments EMNLP 2022 Main Conference
AI 大模型
大语言模型、预训练、指令微调、后训练和语言模型应用。
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments EMNLP 2022 Main Conference
专题命中 预训练与数据 :large language model(abstract);language model(abstract);分类 cs.CL
Comments To be published in CoNLL 2022
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments To appear at EMNLP 2022
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Journal ref Švec, J., Lehečka, J., Šmídl, L. (2022) Deep LSTM Spoken Term Detection using Wav2Vec 2.0 Recognizer. Proc. Interspeech 2022, 1886-1890
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
专题命中 预训练与数据 :large language model(abstract);language model(abstract);分类 cs.CL
Comments 37 pages, 2 figures, 9 tables
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments System description for the Multilingual Information Access 2022 Shared Task
专题命中 预训练与数据 :large language model(abstract);language model(abstract);分类 cs.LG
Comments Preprint
专题命中 预训练与数据 :large language model(abstract);language model(abstract);分类 cs.CL
Comments Accepted by Dialogue-2022 conference
专题命中 预训练与数据 :large language model(abstract);language model(abstract);分类 cs.CL
Comments Accepted for publication at IJCAI-ECAI 2022
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.LG
Comments In ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT) 2022
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.LG
Comments Accepted in ICLR 2022
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments Accepted at ICML2022
专题命中 预训练与数据 :language model(abstract);prompting(abstract);分类 cs.CL
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
专题命中 预训练与数据 :language model(abstract);prompting(abstract);分类 cs.CL
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments Accepted by ACL 2022 (long paper)
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
专题命中 预训练与数据 :language model(abstract);prompting(abstract);分类 cs.CL
Comments 13 pages, 9 figures, to appear in ACL Findings 2022
专题命中 预训练与数据 :language model(abstract);prompting(abstract);分类 cs.CL
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments 5 pages, minor changes for camera ready version, to be published in IEEE ICASSP 2022
专题命中 预训练与数据 :large language model(abstract);language model(abstract);分类 cs.CL
Comments 12 pages, 6 figures, 2 tables
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments TACL 2021
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
专题命中 预训练与数据 :pretraining(abstract);prompting(abstract);分类 cs.LG
Comments Code available at https://github.com/ArnauDIMAI/CLIP-GuessWho
Journal ref Intelligent Data Engineering and Automated Learning (IDEAL 2021). Lecture Notes in Computer Science, vol 13113
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments Submission to the BioCreative VII challenge - Track-2
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments Accepted to Natural Language Engineering journal
Journal ref Martinc, M., Škrlj, B., & Pollak, S. (2021). TNT-KID: Transformer-based neural tagger for keyword identification. Natural Language Engineering, 1-40. doi:10.1017/S1351324921000127
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.CL
Comments 19 pages, 1 figure, 8 tables
Journal ref Proceedings of ACL-IJCNLP 2021 Volume 1 Long Papers 6952-6969
专题命中 预训练与数据 :language model(abstract);pretraining(abstract);分类 cs.LG