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Yi-Fan Wang

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#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

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. · 73 citations · ⚡4

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