DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue
专题命中 预训练与数据 :pretraining(abstract);分类 cs.CL、cs.LG
Comments 9 Pages; ACL Main Conference 2023
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 :pretraining(abstract);分类 cs.CL、cs.LG
Comments 9 Pages; ACL Main Conference 2023
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.LG
Comments 28 pages
专题命中 预训练与数据 :language model(abstract);分类 cs.AI、cs.LG
Comments version_02
专题命中 预训练与数据 :pretraining(abstract);分类 cs.AI、cs.LG
Comments PhD Thesis
专题命中 预训练与数据 :pretraining(abstract);分类 cs.CL、cs.AI
专题命中 预训练与数据 :language model(abstract);分类 cs.AI、cs.LG
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.LG
Comments Accepted to NeurIPS 2023 Datasets and Benchmarks Track
专题命中 预训练与数据 :pretraining(abstract);分类 cs.AI、cs.LG
Comments Published in MICCAI 2023 with early acceptance and selected as 1 of the top 20 poster highlights under the category: Which work has the potential to impact other applications of AI and CV
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.AI
Comments EMNLP 2023
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.AI
Comments To be published at EMNLP 2023 (Findings)
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.AI
Comments Accepted to EMNLP 2023
专题命中 预训练与数据 :LLM(abstract);分类 cs.CL、cs.AI
Comments Project Website: https://vpgtrans.github.io Code: https://github.com/VPGTrans/VPGTrans NeurIPS 2023
专题命中 预训练与数据 :foundation model(abstract);分类 cs.AI、cs.LG
专题命中 预训练与数据 :pretraining(abstract);分类 cs.CL、cs.AI
Comments The paper has no errors; it just needs to be supplemented to become a new article
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.LG
Comments Accepted at ICMLA 2023, 10 pages, 2 tables
专题命中 预训练与数据 :pretraining(abstract);分类 cs.CL、cs.LG
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.AI
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.AI
Comments Accepted for publication at Transactions of the Association for Computational Linguistics (TACL) To be presented at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
专题命中 预训练与数据 :post-training(abstract);分类 cs.AI、cs.LG
Journal ref Proceedings of the 31st ACM International Conference on Multimedia (MM '23), October 29--November 3, 2023, Ottawa, ON, Canada
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.AI
Comments 15 pages
Journal ref EMNLP 2023
专题命中 预训练与数据 :foundation model(abstract);分类 cs.AI、cs.LG
专题命中 预训练与数据 :pretraining(abstract);分类 cs.CL、cs.LG
专题命中 预训练与数据 :foundation model(abstract);分类 cs.AI、cs.LG
Comments Accepted to the 15th Asian Conference on Machine Learning (ACML2023); a preprint of the camera-ready version
专题命中 预训练与数据 :foundation model(abstract);分类 cs.CL、cs.AI
Comments Accepted at CVPR 2023
专题命中 预训练与数据 :pretraining(abstract);分类 cs.AI、cs.LG
Comments MICCAI 2023
专题命中 预训练与数据 :pretraining(abstract);分类 cs.AI、cs.LG
专题命中 预训练与数据 :pretraining(abstract);分类 cs.CL、cs.LG
Comments Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops 2023
专题命中 预训练与数据 :pretraining(abstract);分类 cs.AI、cs.LG
Comments Accepted to ICCV 2023
专题命中 预训练与数据 :pretraining(abstract);分类 cs.AI、cs.LG
专题命中 预训练与数据 :language model(abstract);分类 cs.CL、cs.AI
Comments This paper is focused on predicting emojis corresponding to tweets using BERT