Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search 事件

Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search arXiv:2605.30917v1 Announce Type: cross Abstract: As large-scale visual-document corpora such as arXiv papers and enterprise PDFs continue to grow, visual-document retrieval has gained increasing attention; yet it still lacks a deployable system that lexically indexes visual documents to serve queries without neural encoding at scale. Existing methods either achieve strong retrieval quality with VLM-b