2025 5 2

Three papers were accepted to ICML 2025. Our oral presentation (top 1%) introduces contrastive sparse representations (CSR) to compress state-of-the-art embedding models to just 32 active dimensions, enabling ~100× faster retrieval with minimal accuracy loss and low training cost for large-scale vector databases and RAG systems.