Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning
专题命中 其他多模态 :multimodal(title,abstract);分类 cs.AI
Comments Accepted by AAAI 2026
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 其他多模态 :multimodal(title,abstract);分类 cs.AI
Comments Accepted by AAAI 2026
机构 * Dept. of Artificial Intelligence(人工智能系) ; Korea University(韩国大学) ; Dept. of Brain and Cognitive Engineering(脑科学与认知工程系)
专题命中 其他多模态 :multimodal(abstract);分类 cs.AI
Comments 4 pages, 4 figures, 1 table,
机构 * University of Rochester(罗切斯特大学) ; Corning Inc(康宁公司)
专题命中 其他多模态 :multimodal(abstract);分类 cs.CV
Journal ref CVPR 2025 (IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025)
机构 * Department of Physics and Astronomy, Johns Hopkins University(约翰霍普金斯大学物理与天文学系) ; Kavli Institute for Cosmology, University of Cambridge(剑桥大学卡弗利宇宙研究所) ; Center for Cosmology and Particle Physics, New York University(纽约大学宇宙与粒子物理中心)
专题命中 其他多模态 :multi-modal(abstract)
Comments 8 pages, 4 figures. , accepted at Machine Learning and the Physical Sciences Workshop at NeurIPS 2025