An In-depth Survey of Large Language Model-based Artificial Intelligence Agents
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI
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);LLM(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);prompting(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);LLM(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);LLM(abstract);分类 cs.CL、cs.AI
Comments 86 pages, 12 figures
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI
Comments Ongoing Work
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);prompting(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);LLM(abstract);分类 cs.CL、cs.AI
Comments 5 pages, Under Review
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(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);LLM(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);instruction tuning(abstract);分类 cs.CL、cs.AI
Comments Our code and datasets are released in Github: https://github.com/pppa2019/swie_overmiss_llm4mt
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI
Comments 143 pages, 79 tables, 4 figures
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(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);prompting(abstract);分类 cs.CL、cs.LG
Comments 19 pages
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(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);LLM(abstract);分类 cs.CL、cs.AI
Comments 13 pages, 12 figures, 5 tables
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(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);LLM(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);LLM(abstract);分类 cs.AI、cs.LG
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.LG
Comments 15 pages, 9 tables, 1 figures, conference
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.LG
Comments Code is available at https://github.com/neelsjain/BYOD. First two authors contributed equally. 21 pages, 22 figures
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);pretraining(abstract);分类 cs.CL、cs.AI
Comments Github: https://github.com/declare-lab/instruct-eval Leaderboard: https://declare-lab.github.io/instruct-eval/
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI
Comments 8 pages, 4 tables, 2 figures
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI
Journal ref FDG 2023: Proceedings of the 18th International Conference on the Foundations of Digital Games
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(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);LLM(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);LLM(abstract);分类 cs.CL、cs.AI
专题命中 评测与基准 :language model(title,abstract);prompting(title,abstract);large language model(abstract);分类 cs.CL、cs.AI
Comments In Findings of EACL 2023. 25 pages, 4 figures, 26 tables. Code available at https://github.com/alexa/PLACES
专题命中 评测与基准 :language model(title,abstract);prompting(title,abstract);large language model(abstract);分类 cs.CL、cs.LG
REGARD:大语言模型中的区域情感差异
机构 * Ivannikov Institute for System Programming of the Russian Academy of Sciences(俄罗斯科学院伊万尼科夫系统编程研究所) ; Russian Presidential Academy of National Economy and Public Administration(俄罗斯总统国民经济与公共管理学院)
专题命中 评测与基准 :language model(title,abstract);large language model(title,abstract);LLM(abstract);分类 cs.CL
AI总结 研究跨大语言模型对后苏联实体情感框架差异,用目标导向的效价-唤醒-优势剖析,向19个模型询问500个特定区域目标并评分验证,聚类得出行为聚类,发现效价-唤醒-优势剖析能捕捉情感强度,补充传统情感评估。
Comments 17 pages, 11 figures, 3 tables. Includes evaluation of 19 language models, two independent VAD judges, and human validation on 300 items
机构 * College of Computing and Data Science, Nanyang Technological University, Singapore(南洋理工大学计算机与数据科学学院) ; MiroMind, Singapore(MiroMind公司) ; Shanghai Jiao Tong University, China(上海交通大学) ; Peking University, China(北京大学)
专题命中 评测与基准 :SLM(title,abstract);LLM(title);large language model(abstract);language model(abstract)
Comments Accepted by Interspeech 2025 MLC-SLM challenge (5th place). System report