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UnDA achieves superior cross-modal knowledge transfer in medical imaging, even in the absence of paired clinical data, by dynamically suppressing noise from uncertain predictions.
LoRA-MME's ensemble of LoRA-tuned code encoders achieves state-of-the-art code comment classification, but at the cost of inference efficiency.
