Synthetic Data Generation in Low-Resource Settings via Fine-Tuning of Large Language Models
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
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 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
专题命中 预训练与数据 :foundation model(title,abstract);pretraining(title,abstract);分类 cs.AI、cs.LG
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
专题命中 预训练与数据 :language model(title,abstract);pretraining(title,abstract);分类 cs.CL、cs.LG
Comments NeurIPS 2023
专题命中 预训练与数据 :language model(title,abstract);large language model(title);pretraining(abstract);分类 cs.CL、cs.AI
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments 11 pages, 2 figures
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments 25 pages
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
Comments Published in CHR 2023
专题命中 预训练与数据 :language model(title,abstract);pretraining(title,abstract);分类 cs.CL、cs.AI
Comments Accepted by EMNLP 2023 Findings
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments Submitted to ICASSP2024
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
Comments Accepted into EMNLP 2023 (industry track), corresponding Author: Md Rashad Al Hasan Rony
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments 8 pages, 4 figures, Accepted to The Twelfth International Conference on Knowledge Capture (K-Cap 2023)
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
Comments ACM Collective Intelligence
Journal ref In Collective Intelligence Conference (CI '23), November 06-09, 2023, Delft, Netherlands. ACM, New York, NY, USA (2023)
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments 10 pages, 3 figures
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
Comments ICML 2023 Camera Ready Version
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
Comments 6 pages, 5 figures, LaTeX; added a related work section
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments 5 pages, 3 Figures, ACL 2023
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments Earlier version (Nov 2, 2022) available at http://www.faculty.ucr.edu/~eschwitz/SchwitzPapers/GPT-3-Dennett-221102.pdf; stable URL for updated versions http://faculty.ucr.edu/~eschwitz/SchwitzAbs/GPT3Dennett.htm
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 预训练与数据 :language model(title,abstract);pretraining(title,abstract);分类 cs.CL、cs.AI
专题命中 预训练与数据 :language model(title,abstract);large language model(title);pretraining(abstract);分类 cs.CL、cs.LG
Comments 31 pages; update ethics statement to clarify benefits and potential long-term harms
专题命中 预训练与数据 :language model(title,abstract);pretraining(title,abstract);分类 cs.CL、cs.LG
Comments First Version
专题命中 预训练与数据 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 预训练与数据 :language model(title,abstract);pretraining(title,abstract);分类 cs.CL、cs.LG
Comments Published at ICLR 2022
专题命中 预训练与数据 :language model(title,abstract);pretraining(title,abstract);分类 cs.CL、cs.LG
专题命中 预训练与数据 :language model(title,abstract);large language model(title);prompting(abstract);分类 cs.CL、cs.AI
Comments Accepted to 4th Workshop on NLP for Conversational AI, ACL 2022