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Jialun Zhong

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Preprint Aug 2026

RAGOCR: Optical Compression of Retrieval-Augmented Text via Visual Representation

This work introduces RAGOCR, a novel framework that compresses retrieved documents into compact visual representations conditioned on the input query, and introduces a query-aware dynamic resolution mechanism that adaptively allocates visual granularity based on each document's estimated relevance and complexity.

Jia-Yang Yu, Jialun Zhong, Lei Zou · 0 citations

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