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Harbin Institute of Technology, Great Bay University
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Direct radar velocity measurements can anchor visual object permanence through complete optical dropouts and clutter, driving a massive 30-point MOTA leap in multimodal moving-object tracking.
Advanced RS MLLMs struggle with negation, but a novel learning method can dramatically enhance their understanding using minimal unlabeled data.
Forget fancy quantization schemes – a simple token-wise INT4 quantization with Hadamard rotation is all you need to nearly match FP16 accuracy in LLM serving, without sacrificing throughput.
