works on
error compensation 1feature statistics matching 1large language models 1low-bit quantization 1post-training quantization 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.NE2026

Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models

Ryona Noda

The paper proposes a joint optimization method for post‑training quantization of large language models that uses cross‑layer error compensation and finite‑sample feature‑statistics…