KAUST Proposes Generative Late-Interaction Embeddings to Compress Visual Document Retrieval Vectors
KAUST · hf · 2026-09-11
KAUST released Generative Late-Interaction Embeddings For Visual Document Retrieval on Hugging Face. The method learns a small basis set that can regenerate full late-interaction embeddings on demand, compressing storage requirements for visual document retrieval. Key finding: it improves retrieval accuracy under tight storage budgets without retraining the encoder.
Related event: GLIE Paper Compresses Late-Interaction Retrieval Storage 200x(4 posts)→
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