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cs.CL2025
Improving Multimodal Contrastive Learning of Sentence Embeddings with Object-Phrase Alignment
Kaiyan Zhao, Zhongtao Miao, Yoshimasa Tsuruoka
Multimodal sentence embedding models typically leverage image-caption pairs in addition to textual data during training. However, such pairs often contain noise, including redundan…
cs.CV2025
Joint Fusion and Encoding: Advancing Multimodal Retrieval from the Ground Up
Lang Huang, Qiyu Wu, Zhongtao Miao +1
Information retrieval is indispensable for today's Internet applications, yet traditional semantic matching techniques often fall short in capturing the fine-grained cross-modal in…