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跨文本、图像、视频、音频等模态的大模型与学习方法。

2025-10-24 至 2025-10-24 共收录 2 信号源:cs.CV, cs.CL, cs.AI, cs.MM, eess.AS

1. 跨模态检索 2 篇

2510.20393 2025-10-24 cs.CV cs.MM 81%

Mitigating Cross-modal Representation Bias for Multicultural Image-to-Recipe Retrieval

Qing Wang, Chong-Wah Ngo, Yu Cao, Ee-Peng Lim

机构 * Singapore Management University(新加坡管理大学)

专题命中 跨模态检索 :cross-modal(title,abstract);分类 cs.CV、cs.MM

Comments ACM Multimedia 2025

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2510.20193 2025-10-24 cs.IR cs.CL cs.CV cs.LG 81%

Multimedia-Aware Question Answering: A Review of Retrieval and Cross-Modal Reasoning Architectures

Rahul Raja, Arpita Vats

机构 * Carnegie Mellon University(卡内基梅隆大学) Boston University(波士顿大学)

专题命中 跨模态检索 :cross-modal(title,abstract);分类 cs.CV、cs.CL

Comments In Proceedings of the 2nd ACM Workshop in AI-powered Question and Answering Systems (AIQAM '25), October 27-28, 2025, Dublin, Ireland. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3746274.3760393

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