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cs.CV2024
FrameBridge: Improving Image-to-Video Generation with Bridge Models
Yuji Wang, Zehua Chen, Xiaoyu Chen +3
Diffusion models have achieved remarkable progress on image-to-video (I2V) generation, while their noise-to-data generation process is inherently mismatched with this task, which m…
cs.CV2024
QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning
Jiun-Man Chen, Yu-Hsuan Chao, Yu-Jie Wang +3
Transformer-based models have gained widespread popularity in both the computer vision (CV) and natural language processing (NLP) fields. However, significant challenges arise duri…
cs.LG2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning
Yichuan Mo, Yuji Wang, Zeming Wei +1
While Large Language Models (LLMs) have achieved tremendous success in various applications, they are also susceptible to jailbreaking attacks. Several primary defense strategies h…