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

RegRet is presented, an LMM-based Region-level Retrieval framework that enhances the regional representations without compromising overall global retrieval performance and designs a multi-stage training pipeline that includes detailed localized captioning and regional contrastive learning tasks.

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