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Recent efforts to accelerate inference in Multimodal Large Language Models (MLLMs) have largely focused on visual token compression. The effectiveness of these methods is commonly evaluated by ...
Abstract: The selection of an optimal compression tool for heterogeneous files presents a critical trade-off between computationally expensive brute-force testing and fast but unreliable heuristic ...
Abstract: With the growing scale of biomedical data from wearable devices, automated electrocardiogram (ECG) analysis has become increasingly vital for cardiovascular disease monitoring and represents ...