Bao-Chang Zhang

LLM pruning can be task-aware: DIPrune's dual importance scoring jointly optimizes static feature saliency and dynamic semantic evolution, outperforming prior methods on LLaVA and Qwen-VL.

Achieving state-of-the-art editing fidelity, CIME seamlessly balances motion change with structural consistency, revolutionizing text-driven human motion editing.