2 papers
cs.LG2026
CALM: A CKA-Guided Adaptive Layer-Wise Modularization Framework for LLM Quantization
Jinhao Zhang, Yunquan Zhang, Daning Chen +2
Current mainstream post-training quantization methods for large language models typically apply a uniform quantization strategy across all network layers, overlooking the substanti…
cs.LG2025
MoQE: Improve Quantization Model performance via Mixture of Quantization Experts
Jinhao Zhang, Yunquan Zhang, Boyang Zhang +2
Quantization method plays a crucial role in improving model efficiency and reducing deployment costs, enabling the widespread application of deep learning models on resource-constr…