Author

Bo-Yuan Pan

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Preprint Oct 2026

Autoregressive Retriever: Improving Query Understanding from Item Feedback for Universal Multimodal Retrieval

Universal multimodal retrieval typically encodes a query once and ranks independently indexed items by embedding similarity. This design supports efficient search, but leaves the query representation unchanged even when retrieved items could help clarify the information need. We introduce the AutoRegressive Retriever (...

Jian-Fei Zhao, Yi-Fan Wang, Feng Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

RegRet: Enhancing Region-Level Retrieval in Large Multimodal Models

Region-level retrieval aims to align user-specified image regions with relevant regions or textual descriptions, playing a crucial role in realworld applications such as e-commerce product search and RAG. Although recent Large Multimodal Models (LMMs) have made significant strides in multimodal retrieval, they primaril...

Xun Liang, Hong-Hui Yang, Weihang Pan et al. · 0 citations