Author

Kevin S. Zhou

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#artificial intelligence May 2026

Repetition Mismatch: Why Data Mixture Experiments Don't Scale and How to Fix Them

The results reveal that repetition dynamics, not scale alone, shape whether small-scale mixture experiments generalize, and suggest that data repetition deserves treatment as a first-class variable in mixture optimization, rather than an inconvenient side effect of limited data.

Kevin S. Zhou, Lisa Alazraki, Kris Cao et al. · arXiv.org · 2 citations

Preprint Aug 2026

LibraSpec: Dynamic Diffusion-Based Speculative Decoding via Marginal-Gain-Driven Optimization

LibraSpec, a training-free and plug-and-play algorithm that iteratively determines the speculative length using drafter confidence scores, is developed and it is proved that LibraSpec monotonically converges toward the optimal speculative length.

Zexun Lin, Yuan Feng, Junlin Lv et al. · 0 citations