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Standard visual token pruning targets the wrong encoder depth: tapping into intermediate representations while asymmetrically skipping decoder sub-layers cuts MLLM inference FLOPs by 79% without requiring any retraining.
Wuying-Browser-Agent achieves a groundbreaking 80.6% on WebVoyager, revealing that real-world browser agents can excel beyond short, clean demonstrations.
