arxiv
PublishedJune 5, 2026 at 4:00 AM
—neutral
ColBERTSaR: Sparsified ColBERT Index via Product Quantization
Publisher summary· verbatim
arXiv:2606.05568v1 Announce Type: cross Abstract: While ColBERT is an effective neural retrieval architecture, it requires a heavy index structure to support candidate set retrieval based on approximated token embeddings, gathering and decompressing document token embeddings, and applying the MaxSim
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Originally published on arxiv ↗