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Yuntian Xiao

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#computer vision Preprint Sep 2026

ColNanoVDR: Document-Free Query Distillation for Multi-Vector Visual Document Retrieval via Optimal Transport

Multi-vector retrievers built on vision-language models lead visual document retrieval (VDR), but they run a multi-billion-parameter query encoder on every search. Distilling this encoder into a small student that queries the teacher's existing index would remove the bottleneck. The standard recipe, however, matches th...

Zhu Liu, Zi-Yi Wang, Yao Zhang et al. · 0 citations

Preprint Aug 2026

DistilVDR: A Compact End-to-End Visual Document Retriever via Dual-Student Distillation

This work presents DistilVDR, a 524M end-to-end VDR system distilled bilaterally from a single 8B vision-language teacher under a pointwise cosine alignment loss and matches VDR's text-query and image-document input asymmetry with an asymmetric encoder-only student that concentrates visual capacity on the document side...

Zhu Liu, Ziyi Wang, Yao Zhang et al. · 0 citations

#machine learning Mar 2026

NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval

NanoVDR exploits query--document asymmetry by decoupling the two encoding paths: a frozen 2B VLM teacher indexes documents offline, while a distilled text-only student as small as 69M parameters encodes queries at inference, and the resulting NanoVDR-S-Multi (DistilBERT, 69M) retains 95.1% of teacher quality.

Zhu Liu, Yao Zhang, Yuntian Xiao · arXiv.org · 1 citation