Author

Chulhee Yun

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Preprint Oct 2026

Error-Subspace Calibration for Multi-Task Model Merging

Model merging combines task-specific expert models into a single model without joint training on their original datasets, but often incurs a performance gap relative to the individual experts. Post-merging calibration can reduce this gap through task-specific representation alignment, but the alignment objective alone...

Yeseul Cho, Hanseul Cho, Chulhee Yun · 0 citations

Preprint Sep 2026

Stronger Lower Bounds for (Non-)Anytime Acceleration of Gradient Descent

Stronger lower bounds are established for GD's convergence rate in both settings: $\Omega(N^{-1.450})$ for the non-anytime rate bound and $\Omega(N^{-1.184})$ for the anytime rate barrier.

Min-Chan Jung, Hanseul Cho, Chulhee Yun · 5 citations · ⚡2