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cs.CL2025
PRSM: A Measure to Evaluate CLIP's Robustness Against Paraphrases
Udo Schlegel, Franziska Weeber, Jian Lan +1
Contrastive Language-Image Pre-training (CLIP) is a widely used multimodal model that aligns text and image representations through large-scale training. While it performs strongly…
cs.CL2025
Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach
Han Yang, Jian Lan, Yihong Liu +2
Autoregressive language models are vulnerable to orthographic attacks, where input text is perturbed with characters from multilingual alphabets, leading to substantial performance…