A systematic review of trial-matching pipelines using large language models
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments 28 pages, 3 figures
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 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments 28 pages, 3 figures
机构 * University of Edinburgh(爱丁堡大学) ; Instituto de Telecomunicações(电信研究所) ; Instituto Superior Técnico, Universidade de Lisboa(里斯本大学技术学院) ; Unbabel
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);foundation model(abstract)
Comments Pre-print
机构 * Shanghai AI Laboratory(上海人工智能实验室) ; HKUST (GZ)(香港科技大学) ; University of Macau(澳门大学) ; Institute of Automation Chinese Academy of Sciences(中国科学院自动化研究所) ; Soochow University(苏州大学) ; KTH Royal Institute of Technology(皇家理工学院) ; Peking University(北京大学) ; The Chinese University of Hong Kong(香港中文大学)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);foundation model(abstract)
Comments Survey, 82 pages, GitHub: https://github.com/weigao266/Awesome-Efficient-Arch
机构 * Huawei(华为) ; Huawei Individual Researcher(华为独立研究者) ; Individual Researcher(独立研究者)
专题命中 效率与部署 :LLM(title,abstract);post-training(title,abstract);large language model(abstract);language model(abstract)
机构 * School of Computer and Communication Engineering, University of Science and Technology Beijing(计算机与通信工程学院,北京科技大学)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);foundation model(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);post-training(abstract)
机构 * Department of Informatics, Universität Hamburg(汉堡大学信息学院) ; The University of Sydney(悉尼大学) ; Alibaba International Digital Commerce(阿里巴巴国际数字商业) ; Institute of Psychology, Chinese Academy of Sciences(中国科学院心理研究所)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);pretraining(abstract)
Comments Accepted to Findings of ACL 2025
机构 * Tsinghua University(清华大学) ; Zhongguancun Laboratory(中关村实验室) ; The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州)) ; Shandong Key Laboratory of Artificial Intelligence Security(山东省人工智能安全重点实验室)
专题命中 效率与部署 :language model(title,abstract);small language model(title,abstract);large language model(abstract);SLM(abstract)
Comments Accepted to ACL 2025 findings
机构 * Unicom Data Intelligence(中国联通数据智能研究所) ; Data Science & Artificial Intelligence Research Institute(数据科学与人工智能研究院) ; China United Network Communications Group Corporation Limited(中国联合网络通信集团有限公司)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);SFT(abstract)
Comments 12 pages, 5 figures
机构 * Spotify
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments Doctoral disstertation
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
机构 * National University of Defense Technology(国防科技大学)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);post-training(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);post-training(abstract)
Comments Accepted to ICML 2025
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments Under review (submited in 2024.11)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments ASPLOS 2025
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);pretraining(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);foundation model(abstract);prompting(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);post-training(abstract)
Comments 10 Pages
专题命中 效率与部署 :language model(title,abstract);small language model(title,abstract);LLM(abstract);SLM(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);foundation model(abstract);instruction tuning(abstract)
Comments BayLing 2's online demo: http://nlp.ict.ac.cn/bayling/demo. BayLing 2's code and models: https://github.com/ictnlp/BayLing
专题命中 效率与部署 :language model(title,abstract);small language model(title,abstract);LLM(abstract);large language model(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);post-training(abstract)
Comments Accepted at AAAI 2025
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments Repo: NeurIPS2024_SPV-MIA" target="_blank" rel="noopener">https://github.com/tsinghua-fib-lab/NeurIPS2024_SPV-MIA
Journal ref The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);post-training(abstract)
Comments Accepted to The 38th Conference on Neural Information Processing Systems (NeurIPS 2024). [31 pages, 10 figures, 9 tables]
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);foundation model(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);post-training(abstract)
专题命中 效率与部署 :LLM(title,abstract);prompting(title,abstract);large language model(abstract);language model(abstract)
Comments 14 pages, 11 figures. IEEE Internet of Things Journal, 2024