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cs.LG2026
UniCon: Unified Framework for Efficient Contrastive Alignment via Kernels
Hangke Sui, Yuqing Wang, Minh N Do
Contrastive objectives power state-of-the-art multimodal models, but their training remains slow, relying on long stochastic optimization. We propose a Unified Framework for Effici…
cs.LG2025
Towards Achieving Perfect Multimodal Alignment
Abhi Kamboj, Minh N. Do
Multimodal alignment constructs a joint latent vector space where modalities representing the same concept map to neighboring latent vectors. We formulate this as an inverse proble…