Author

Yi-Fan Wang

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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

#machine learning Preprint Sep 2026

Machine-Interpretable Information: Compiling Documents into Searchable and Readable Protocol States

This work introduces Machine-Interpretable Information (MII), the first agent-to-agent (A2A) document-to-state protocol, and demonstrates strong cross-model interoperability across heterogeneous LLMs -- despite the Writer using a legacy GPT-2 vocabulary, forcing genuine semantic translation rather than token-level memo...

Yi-Fan Wang, De-Jing Dou · 0 citations

#artificial intelligence Feb 2025

PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection

Empirically, PRISM reduces the end-to-end time for data selection and model tuning to just 30% of conventional pipelines, and achieves this efficiency while simultaneously enhancing performance, surpassing models fine-tuned on the full dataset across eight multimodal and three language understanding benchmarks.

Jinhe Bi, Yifan Wang, Danqi Yan et al. · arXiv.org · 73 citations · ⚡4