← Publications
DAGM GCPR 2025
Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models
A study of layerwise versus widthwise structural pruning on the language backbone of MLLMs, paired with supervised finetuning and knowledge distillation for recovery on a small fraction of the data.