Roberto Castro

WUSH: Near-Optimal Adaptive Transforms for LLM Quantization

Quantizing LLM weights and activations is a standard approach for efficient deployment, but a few extreme outliers can stretch the dynamic range and amplify low-bit quantization error. Prior transform-based mitigations (e.g., Hadamard rotations) are fixed and data-agnostic, and their optimality for …