most citedAdapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning

6 citations · 7 across the 3 of their papers we have counts for

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cs.CV2024★ 1 cited

Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model

Huan Ma, Yan Zhu, Changqing Zhang +5

Vision-language foundation models have exhibited remarkable success across a multitude of downstream tasks due to their scalability on extensive image-text paired data. However, th…

cs.CV2023

Semantic Equivariant Mixup

Zongbo Han, Tianchi Xie, Bingzhe Wu +2

Mixup is a well-established data augmentation technique, which can extend the training distribution and regularize the neural networks by creating ''mixed'' samples based on the la…