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cs.IR2026
Your Embedding Model is SMARTer Than You Think
Jianrui Zhang, Hyun Jung Lee, Sukanta Ganguly +3
Multimodal retrieval relies heavily on single-vector retrievers, which compress rich, sequential token sequences into one single global representation. While efficient, they discar…
cs.IR2026
Reasoning-Augmented Representations for Multimodal Retrieval
Jianrui Zhang, Anirudh Sundara Rajan, Brandon Han +3
Universal Multimodal Retrieval (UMR) seeks any-to-any search across text and vision, yet modern embedding models remain brittle when queries require latent reasoning (e.g., resolvi…