AIBullisharXiv – CS AI · 14h ago7/10
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No More K-means:Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
Researchers introduce Single-stage Sparse Retrieval (SSR), a new approach that replaces clustering-based compression with sparse autoencoders for multi-vector retrieval systems. The method achieves 15x faster indexing, 50% lower retrieval latency, and improved accuracy compared to ColBERTv2, addressing critical efficiency bottlenecks in large-scale information retrieval.