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Author

Mujeen Sung

Department of Computer Science and Engineering, Korea University, Seoul, South Korea

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Open access Aug 2026

KoViDoRe: A Benchmark for Korean Visual Document Retrieval

This work introduces KoViDoRe, a benchmark for Korean visual document retrieval, and curates a large-scale training dataset, Ko-VDR Train Public, to support the development of retrieval models tailored to Korean visual documents.

Yongbin Choi, Yongwoo Song, Mujeen Sung · 1 citation

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