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most citedWhen Good Sounds Go Adversarial: Jailbreaking Audio-Language Models with Benign Inputs

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cs.CL2024

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training

Dasol Choi, Guijin Son, Soo Yong Kim +2

Visual-Language Models (VLMs) have become a powerful tool for bridging the gap between visual and linguistic understanding. However, the conventional learning approaches for VLMs o…