SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
机构 * The Ohio State University(俄亥俄州立大学)
专题命中 多模态评测 :multimodal(title,abstract);MLLM(abstract);分类 cs.CL
Comments NeurIPS 2025
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
机构 * The Ohio State University(俄亥俄州立大学)
专题命中 多模态评测 :multimodal(title,abstract);MLLM(abstract);分类 cs.CL
Comments NeurIPS 2025
机构 * Shanghai Jiao Tong University(上海交通大学) ; Shanghai AI Laboratory(上海人工智能实验室)
专题命中 多模态评测 :MLLM(title,abstract);multimodal(abstract);分类 cs.CL
机构 * School of Computing and Augmented Intelligence(计算与增强智能学院) ; Arizona State University(亚利桑那州立大学) ; Department of Computer Science(计算机科学系) ; International Institute of Information Technology(国际信息科技研究所)
专题命中 多模态评测 :multimodal(title,abstract);分类 cs.CV、cs.CL、cs.AI
Comments Published as a conference paper at COLM 2025
机构 * Dicemed
专题命中 多模态评测 :multi-modal(title);multimodal(abstract);分类 cs.CV、cs.AI
机构 * Center for Machine Vision and Signal Analysis, University of Oulu(机器视觉与信号分析中心,奥卢大学) ; Indian Institute of Technology Roorkee(印度理工学院罗尔基分校) ; State Key Laboratory of Blockchain and Data Security, Zhejiang University(区块链与数据安全国家重点实验室,浙江大学)
专题命中 多模态评测 :multimodal(title,abstract);分类 cs.AI、cs.MM
机构 * Purdue University(普渡大学) ; Indiana University(印第安纳大学) ; Curtin University(Curtin大学)
专题命中 多模态评测 :multimodal(title,abstract);分类 cs.CV
Comments The extended full version of the accepted paper in 2025 IEEE BHI conference with title: Evaluating Large Multimodal Models for Nutrition Analysis: A New Benchmark Enriched with Contextual Metadata. Dataset is available at: https://skynet.ecn.purdue.edu/~coburn6/ACETADA/
机构 * Computing Department of Hong Kong Polytechnic University(香港理工大学计算机系) ; Computing Department, The Hong Kong Polytechnic University(香港理工大学计算机系)
专题命中 多模态评测 :multimodal(title,abstract);分类 cs.AI
Comments 13 pages, 8 figures. Submitted to IEEE Transactions on Information Forensics & Security
专题命中 多模态评测 :multi-modal(title,abstract);分类 cs.MM
机构 * Autonomous Intelligent Systems, Computer Science Institute VI, Center for Robotics, University of Bonn, Germany(自主智能系统,计算机科学研究所第六研究所,机器人中心,波恩大学,德国)
专题命中 多模态评测 :multimodal(title);分类 cs.CV、cs.AI
Comments 12 pages, 4 figures, 2 tables, 19th International Conference on Intelligent Autonomous Systems (IAS), Genoa, Italy, June 2025
机构 * Center For Research in Computer Vision, University of Central Florida, USA(计算机视觉研究中心,中央佛罗里达大学)
专题命中 多模态评测 :cross-modal(abstract);分类 cs.CV、cs.CL
专题命中 多模态评测 :multimodal(abstract);分类 cs.CV、cs.AI
机构 * Tandon School of Engineering New York University New York, USA ; College of Arts \& Science New York University New York, USA
专题命中 多模态评测 :multimodal(abstract);分类 cs.CL、cs.AI
Comments 7 pages, 6 figures, ACII 2025
机构 * Sun Yat-sen University(中山大学) ; ETH Zurich(苏黎世联邦理工学院) ; Huawei Noah’s Ark Lab(华为诺亚实验室) ; The University of Hong Kong(香港大学) ; ETH AI Center(苏黎世人工智能中心)
专题命中 多模态评测 :multimodal(abstract);分类 cs.AI
Comments 46 pages
专题命中 多模态评测 :multimodal(abstract);分类 cs.AI
Comments ACL'25 paper
机构 * Institute of Image Communication and Network Engineering(图像通信与网络工程研究所) ; Shanghai Jiao Tong University(上海交通大学) ; USC-SJTU Institute of Cultural and Creative Industry(USC-SJTU文化产业与创意产业研究院)
专题命中 多模态评测 :multimodal(abstract);分类 cs.CV
专题命中 多模态评测 :multi-modal(abstract);分类 cs.AI
Comments Submitted to ICLR 2026
机构 * UC San Diego(加州大学圣地亚哥分校) ; Massachusetts Institute of Technology(麻省理工学院) ; Georgia Institute of Technology(佐治亚理工学院) ; Carnegie Mellon University(卡内基梅隆大学) ; Tongji University(同济大学) ; Tsinghua University(清华大学) ; University of Pennsylvania(宾夕法尼亚大学)
专题命中 多模态评测 :cross-modal(abstract);分类 cs.AI
机构 * Shanghai Jiao Tong University(上海交通大学) ; East China Normal University(华东师范大学)
专题命中 多模态评测 :multimodal(abstract);分类 cs.CV
Comments Accepted by ACM MM 2025. Project page: https://github.com/wsj-sjtu/FVQ
专题命中 多模态评测 :multimodal(abstract);分类 cs.CV
Comments Pre-review version submitted to IEEE ICASSP 2026
专题命中 多模态评测 :multi-modal(abstract)
专题命中 多模态评测 :cross-modal(abstract)
Comments 15 pages, 13 figures. Accepted at UIST 2025 (ACM Symposium on User Interface Software and Technology). Yingjing Xiao and Zhichao Huang contributed equally. Corresponding author: Yang Gao (gaoyang@cs.ecnu.edu.cn)
专题命中 多模态评测 :multimodal(abstract)
Comments 1tables,6 figs,11pages