Author

Eric Fithian

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#small language model Review Sep 2026

Fine-Tuning Fixes Mode Collapse and Over-Dispersion in LLMs

This work derives a bias-variance decomposition of the expected gap between the model's and target's collision probabilities, showing that SFT is not inherently biased toward mode collapse or its opposite, and shows that diversity miscalibration can arise from finite-sample error and shrink as SFT better approximates t...

K. Skobelev, Eric Fithian, X. Y. Han · 0 citations

#artificial intelligence Preprint Mar 2026

A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling

It is demonstrated that even with multi-billion parameter models and extensive training, current Vision Language Models fall short in the seemingly simple task of tool detection in neurosurgery, and experiments suggest that current models could still face significant obstacles in surgical use cases.

K. Skobelev, Eric Fithian, Yegor Baranovski et al. · 0 citations