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CoAdapt is an LLM-based framework for adaptive collaborative perception in IIoT robotic swarms, reducing communication cost by 38% while maintaining detection precision through dynamic fusion control.
SnapBench introduces a paired corruption benchmark for robust snap-and-ask multimodal retrieval on mobile, revealing image noise as a key degradation factor and proposing an adaptive fusion method for modality reliability.