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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.
Outdated laws are stifling the potential of AI agents, which could revolutionize user interaction with the internet.
Stop letting noisy vision-language alignment ruin your referring image segmentation: AML filters out the bad parts.
