RAda attaches one lightweight attention layer to the end of a VLM to learn a mask that reweights the final fused image-text representation, improving fine-tuning across FFT, EFT, and TTT settings.
Improved test-time adaptation for domain gen- eralization
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One Last Attention for Your Vision-Language Model
RAda attaches one lightweight attention layer to the end of a VLM to learn a mask that reweights the final fused image-text representation, improving fine-tuning across FFT, EFT, and TTT settings.