Language and Culture Internalisation for Human-Like Autotelic AI
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Journal ref Nature Machine Intelligence 4, 1068-1076 (2022)
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 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Journal ref Nature Machine Intelligence 4, 1068-1076 (2022)
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments This paper has been accepted for publication at COLING 2022
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments We will release our code and data at https://inklab.usc.edu/PairReranker
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted at AACL 2022
Journal ref AACL-IJCNLP 2022 Volume 1 Long Papers
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Published in ISCSLP 2022
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Outstanding Paper Award at NeurIPS 2022. Project website: https://minedojo.org
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Published at TMLR, 42 pages
Journal ref Transactions on Machine Learning Research, 11/2022, https://openreview.net/forum?id=1ikK0kHjvj
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted to EMNLP Long. Kang Min Yoo and Junyeob Kim contributed equally. Kang Min Yoo and Taeuk Kim are the corresponding authors
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 14 pages, EMNLP 2022 Main Conference
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments NeurIPS 2022; updated with reviewers' comments addressed; Code is released at https://github.com/microsoft/GLIP
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted at IEEE SLT 2022
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments submitted to Pattern-based Approaches to NLP in the Age of Deep Learning 2022 (Pan-DL 2022)
专题命中 其他LLM :language model(abstract);prompting(abstract)
Comments Accepted by NeurIPS2022. Code is available at https://github.com/xk-huang/OrdinalCLIP
专题命中 其他LLM :large language model(abstract);language model(abstract)
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 5 pages, 1 figure, 1 table, IJCAI 2022 Workshop on Diversity in Artificial Intelligence
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Published in Transactions on Machine Learning Research (06/2022)
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted
Journal ref IEEE Transactions on Cognitive and Developmental Systems (2022)
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted to NAACL 2022 Findings. Github: https://github.com/FedML-AI/FedNLP
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 13 pages, 6 figures, 4 tables, Accepted for publication in the proceedings of the sixteenth International AAAI Conference on Web and Social Media (ICWSM-22)
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 5 pages, 2 figures, accepted by 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments EMNLP 2018
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted as Student Abstract at AAAI 2022
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments EMNLP 2021; 14 pages, 5 figures, 9 tables
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 3rd solution of 'Constraint@AAAI2021 - COVID19 Fake News Detection in English'
Journal ref First International Workshop, CONSTRAINT 2021 co-located with AAAI 2021
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments accepted at the Ontology Matching Workshop at the International Semantic Web Conference (ISWC 2021)
专题命中 其他LLM :language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 7 pages, 10 figures, 5 tables, Accepted in the Findings of EMNLP 2021