LLM-based Multi-Agent System for Simulating Strategic and Goal-Oriented Data Marketplaces
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 10 pages, 12 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 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 10 pages, 12 figures
机构 * College of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications(智能工程与自动化学院,北京邮电大学)
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 11 pages
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 20 pages, 6 figures
机构 * University of California, Santa Cruz(加州大学圣克ruz分校) ; Center for Advanced AI, Accenture(Accenture高级人工智能中心)
专题命中 推理与问题求解 :LLM(title);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Please refer to the NeurIPS 2025 submission: https://openreview.net/forum?id=FNuul0hlin The paper has been accepted to the ICML 2025 MUGen Workshop: https://openreview.net/forum?id=ET24oKP23c
机构 * School of Interdisciplinary Science, Beijing Institute of Technology(交叉科学学院,北京理工大学) ; College of Computing and Data Science, Nanyang Technological University(计算与数据科学学院,南洋理工大学) ; National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing, Beijing Institute of Technology(空间智能信息处理国家重点实验室,北京理工大学) ; School of Optics and Photonics, Beijing Institute of Technology(光学与 photonics 学院,北京理工大学) ; State Key Laboratory of Explosion Science and Safety Protection, Beijing(爆炸科学与安全防护国家重点实验室,北京)
专题命中 推理与问题求解 :prompting(title,abstract);large language model(abstract);language model(abstract)
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
机构 * Nankai University(南开大学) ; Pengcheng Laboratory(鹏城实验室) ; Kuaishou Technology(快手科技) ; Nankai International Advanced Research Institute (SHENZHEN·FUTIAN)(南开国际先进研究院(深圳·福田))
专题命中 推理与问题求解 :foundation model(title,abstract);large language model(abstract);language model(abstract)
Comments 41 pages, 26 figures
Journal ref NeurIPS 2025
机构 * Georgia Institute of Technology(佐治亚理工学院)
专题命中 推理与问题求解 :language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 11 pages, 11 figures
机构 * Yale University(耶鲁大学)
专题命中 推理与问题求解 :language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
机构 * Independent Researcher(独立研究者)
专题命中 推理与问题求解 :prompting(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 17 pages, 1 figure, 6 tables. Code and experimental data available at https://github.com/strongSoda/prompt-sculpting
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 20 pages, 10 figures, Accepted for presentation as a full paper at the COINE 2025 workshop at AAMAS 2025 (https://coin-workshop.github.io/coine-2025-detroit/accepted_for_presentation.html)
机构 * The Hong Kong University of Science and Technology(香港科学与技术大学) ; The Chinese University of Hong Kong(香港中文大学) ; The University of Hong Kong(香港大学)
专题命中 推理与问题求解 :LLM(title);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Code: https://github.com/dvlab-research/SmartSwitch
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 13 pages, 8 figures. Accepted for presentation at the 5th Workshop on Mathematical Reasoning and AI at NeurIPS 2025
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments Under review
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
机构 * TU Darmstadt(图恩-达姆施塔特技术大学) ; UCLA(加州大学洛杉矶分校) ; Google Deepmind(谷歌DeepMind) ; Mila(蒙特利尔人工智能研究院)
专题命中 推理与问题求解 :LLM(title);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments COLM 2025
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 10 pages, 3 figures, 4 tables
机构 * University of Maryland(马里兰大学) ; Fudan University(复旦大学)
专题命中 推理与问题求解 :LLM(title);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Our benchmark dataset is available at https://huggingface.co/datasets/binxingao/extrem-bench
机构 * University College London(伦敦大学学院)
专题命中 推理与问题求解 :LLM(title);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 42 pages, 9 tables
机构 * Australian Broadcasting Corporation(澳大利亚广播公司)
专题命中 推理与问题求解 :language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 52 pages, 10 figures, author typo corrected, abstract typo corrected
机构 * Department of Electrical Engineering and Computer Science University of Arkansas(电气工程与计算机科学系 奎萨克大学)
专题命中 推理与问题求解 :language model(title,abstract);large language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted to the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Main)
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments Accepted to CIKM 2025
机构 * University of Pennsylvania(宾夕法尼亚大学)
专题命中 推理与问题求解 :LLM(title);large language model(abstract);language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted at EMNLP 2025 (Main Conference)
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
Comments 6 pages, 7 figures
专题命中 推理与问题求解 :LLM(title,abstract);large language model(abstract);language model(abstract)
机构 * Princeton University(普林斯顿大学) ; Peking University(北京大学) ; Tsinghua University(清华大学) ; ByteDance Seed(字节跳动种子)
专题命中 推理与问题求解 :language model(title);foundation model(abstract);pretraining(abstract);post-training(abstract)
Comments NeurIPS 2025. Project: https://github.com/Gen-Verse/MMaDA