Shuqi LIU

We introduce ACM, a framework that enhances model merging by incorporating layer-specific merging coefficients based on activation mutual information.

Based on systematic empirical analysis on post-training compression, we propose a calibration data curation framework to help pruning and quantization methods better preserve critical LLM capabilities.