Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors
专题命中 评测与基准 :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 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
专题命中 评测与基准 :language model(title,abstract);large language model(title);LLM(abstract);分类 cs.CL、cs.AI
Comments 15 pages, 1 figure
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments COLING 2024,The benchmark is available at: https://github.com/nuaa-nlp/Character100
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments Accepted by IEEE-ICHI 2024 https://ieeeichi2024.github.io/
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments Accepted by LREC-COLING 2024 as a short paper
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments COLING 2024. Our code are available here: \href{https://github.com/hitoshizuku7/awesome-Ja-self-instruct}{self-instruct data} and \href{https://github.com/ku-nlp/ja-vicuna-qa-benchmark}{evaluation benchmark}
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Journal ref LREC-COLING 2024
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.AI、cs.LG
Comments Under review
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
Comments Submitted and accepted at TMLR: https://openreview.net/forum?id=cAthubStyG
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments Accepted as a conference paper at IWSDS 2024
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments Manuscript submitted to ACM Facct. Authors One and Two contributed equally to this work
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.AI、cs.LG
Comments 14 pages, 14 figures, 3 tables
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
Comments 16 pages, 12 figures
专题命中 评测与基准 :language model(title,abstract);large language model(title);LLM(abstract);分类 cs.CL、cs.AI
Comments Accepted by AAMAS 2024 as a full paper
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.LG
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments Accepted to Findings of EACL 2024
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments Accepted as AAAI 2024
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments 10 pages, 6 figures
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI
Comments Demo and implementation at https://auffusion.github.io