Jialun Zhong

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.