RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
专题命中 图文多模态 :multi-modal(title,abstract);MLLM(abstract);分类 cs.CV
Comments Accepted to 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。
专题命中 图文多模态 :multi-modal(title,abstract);MLLM(abstract);分类 cs.CV
Comments Accepted to NeurIPS 2025
机构 * ByteDance Douyin Content Group(字节跳动抖音内容团队)
专题命中 图文多模态 :multi-modal(title,abstract);分类 cs.CV
Comments EMNLP2025. Code is avaible at https://github.com/bytedance/DynamicCoT
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 图文多模态 :multi-modal(abstract);分类 cs.CL、cs.AI
Comments Accepted to the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025 Main)
专题命中 图文多模态 :multimodal(abstract);分类 cs.CV、cs.AI
Comments Accepted in NeurIPS 2025
机构 * Department of Computing, The Hong Kong Polytechnic University(香港理工大学计算机系) ; College of Systems and Engineering, National University of Defense Technology(国防科技大学系统工程学院) ; School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University(上海交通大学电子信息与电气工程学院) ; Department of Computer Science and Engineering, Hong Kong University of Science and Technology(香港科技大学计算机科学与工程系)
专题命中 图文多模态 :multimodal(abstract);分类 cs.AI
Comments 19 pages