Noise-aware few-shot learning through bi-directional multi-view prompt alignment

Lu Niu, Cheng Xue

Vision-language models offer strong few-shot capability through prompt tuning but remain vulnerable to noisy labels, which can corrupt prompts and degrade cross-modal alignment. Ex…