AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Double descent has sparked considerable interest, with recent work relating it to the data, the model and the learning configuration. Practical fine-tuning commonly involves training a small adapter on top of frozen pretrained weights, as in low-rank adaptation (LoRA). The adapter's rank is the hyperparameter that sets...
DMC-Repair is proposed, which trains models on the same kind of cross-modal swapped samples while assigning supervision according to the modality specified by the question, and reduces the image-induced share of the answer effect by 59.9%, effectively suppressing the cross-modal shortcut without compromising audio-ques...
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