Visual document retrieval relies on rich multi-vector representations to capture fine-grained evidence in document pages, but encoding and matching these representations can be computationally expensive. Existing compression and elastic representation methods expose smaller configurations, yet making multiple budgets a...
Hao-Wen Xiang, Yibo Yan, Xin Zou et al.· 0 citations
This paper surveys the VDR landscape as a retrieval problem in its own right, rather than as the front end of a generation pipeline, and does so specifically through the lens of the Multimodal Large Language Model (MLLM) era, and dives into the methodological evolution along two orthogonal axes.
This work introduces AnchorFold, a training-free focus-then-fold framework for document-side index compression, which consistently outperforms all evaluated training-free baselines at $\gamma \leq 0.20$.
Haoyu Zuo, Yibo Yan, Xin Zou et al.· 1 citation
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