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Author

Li-Sheng Wen

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Oct 2026

Physics-Informed Dataset Distillation.

Dataset Distillation (DD) compresses a large real dataset into a substantially smaller synthetic set for training purposes while preserving the essential semantic information. Distribution-matching DD methods empirically design statistical alignment losses to optimize the synthetic set, aiming to preserve the crucial r...

Li-Sheng Wen, Lei Zhang · 0 citations
#artificial intelligence Preprint Oct 2026

Predicting how model propensities generalize out of distribution

How do language models generalize from their training data? This is a central challenge for alignment: models reliably learn their training distribution given enough samples, but we want models that behave well when deployed in new contexts. We study out-of-distribution (OOD) generalization of propensities. Our central...

J. Hunter, Li-Sheng Wen, Owen Terry et al. · 0 citations

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