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This paper has received 15 citations since March. A revised version will appear in #EMNLP2023

Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings Yubo Ma et al. introduce Light-ColPali/ColQwen2 that maintains 98.2% of retrieval performance with only 11.8% of original memory usage. 📝arxiv.org/abs/2506.04997

Check our paper accepted by ACL2025 (as Findings)! We make ColPali/ColQwen much cheaper by a simple approach. arxiv.org/abs/2506.04997 Thanks for the support from all collaborators! Aixin Sun 孙爱欣 @YixinCao Jiaqi Wang Yuhang Zang