Author

Nam Ling

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#small language model Preprint Aug 2026

COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models

COEC (Calibrated Orthogonal-Equivalence Compensation), a training-free compensation framework that applies alternating left and right orthogonal rotations to the retained weight, improves perplexity on every model and zero-shot accuracy in most settings over existing compensation methods.

Peiqi Yu, Nam Ling, Wei Wang et al. · 1 citation · ⚡1

#machine learning Preprint Aug 2026

CORAM: Coherent Orthogonal Rotation for Model Merging

Merging finetuned models combines specialized capabilities without joint training or access to the original data. Most methods operate by linear arithmetic in Euclidean weight space, which cannot carry the geometry of the update. Orthogonal Model Merging (OrthoMerge) uses a single orthogonal transform for each weight m...

Xinyi Sui, Zi-Ran Liu, Nam Ling et al. · 1 citation