Author

Yao Hu

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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

Jul 2026

P4Q: Learning to Prompt for Quantization in Low-Bit CLIP

The “Prompt for Quantization” (P4Q) is proposed, by integrating PTQ with Parameter-Efficient Fine-Tuning (PEFT) techniques, and demonstrates that P4Q significantly enhances the performance of low-bit CLIP while reducing deployment costs.

H. Sun, Runqi Wang, Yanjing Li et al. · ACM Transactions on Multimed... · 0 citations