AMaPO: Adaptive Margin-attached Preference Optimization for Language Model Alignment
专题命中 偏好对齐 :alignment(title,abstract);RLHF(abstract);分类 cs.CL
Comments AAAI 2026 AIA oral, our code is available at https://github.com/Shiroha-Offical/AMaPO
AI 大模型
大模型对齐、安全、越狱、红队、提示注入和可信评测。
专题命中 偏好对齐 :alignment(title,abstract);RLHF(abstract);分类 cs.CL
Comments AAAI 2026 AIA oral, our code is available at https://github.com/Shiroha-Offical/AMaPO
专题命中 偏好对齐 :alignment(title,abstract);分类 cs.AI、cs.LG
Comments This paper has been accepted by AAAI 2026-AIA and designated as an oral presentation paper
专题命中 偏好对齐 :RLHF(title,abstract);分类 cs.CL、cs.AI
专题命中 偏好对齐 :alignment(title,abstract);分类 cs.CL、cs.AI
专题命中 偏好对齐 :alignment(title,abstract);分类 cs.AI
机构 * Berkeley AI Safety Initiative (BASIS) UC Berkeley(伯克利人工智能安全计划(BASIS)加州大学伯克利分校)
专题命中 偏好对齐 :alignment(abstract);RLHF(abstract);分类 cs.LG
Comments Paper accepted to the 2nd Workshop on Aligning Reinforcement Learning Experimentalists and Theorists (ARLET 2025) at NeurIPS; the paper consists of 14 pages (including the appendix) and contains 3 figures
机构 * Department of Computer Science, University of New Hampshire(新罕布什尔大学计算机科学系) ; Materials Department, University of California, Santa Barbara(加州大学圣芭芭拉分校材料系) ; Department of Mechanical Engineering, University of California, Santa Barbara(加州大学圣芭芭拉分校机械工程系) ; Allen Institute for Artificial Intelligence(人工智能研究院)
专题命中 偏好对齐 :DPO(abstract);分类 cs.CL、cs.AI、cs.LG
机构 * School of Computer Science and Engineering, Northeastern University(东北大学计算机科学与工程学院) ; Meituan Inc.(美团公司) ; NiuTrans Research(牛译研所) ; CAS Key Laboratory of Behavioral Science, Institute of Psychology, CAS(中国科学院行为科学重点实验室) ; Kunming University of Science and Technology(昆明理工大学)
专题命中 偏好对齐 :alignment(abstract);分类 cs.CL
Comments Accepted by AAAI 2026
机构 * Clark Atlanta University(克拉克亚特兰大大学) ; Daffodil International University(达福尔国际大学) ; Ahsanullah University of Science and Technology(阿沙努拉大学科学与技术学院)
专题命中 偏好对齐 :safety(abstract);分类 cs.AI
Journal ref 2025 IEEE International Conference on Service-Oriented System Engineering (SOSE), Tucson, AZ, USA, 21-24 July 2025, IEEE
专题命中 偏好对齐 :RLHF(abstract);分类 cs.CL
Comments After further internal discussion, our author team has decided to withdraw this submission due to the need for several important refinements to the manuscript. All co-authors have been informed and agree with this decision
机构 * MBZUAI ; Provable Responsible AI and Data Analytics (PRADA) Lab(可证明负责任的人工智能与数据分析实验室) ; King Abdullah University of Science and Technology(卡迪夫大学科学与技术大学) ; School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences(中国科学院大学先进交叉科学学院) ; University of Copenhagen(哥本哈根大学) ; Tsinghua University(清华大学)
专题命中 偏好对齐 :DPO(abstract)