15 citations · 48 across the 19 of their papers we have counts for
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cs.CV2026
Mirage Probes: How Vision Models Fake Visual Understanding
Daniel Ben-Levi, Judah Goldfeder, Weiliang Zhao +5
Vision-language models (VLMs) can answer image-based questions confidently, and often correctly, even when no image is provided. This mirage behavior inflates benchmark scores with…
cs.CV2026
On the Robustness of Diffusion-Based Image Compression to Bit-Flip Errors
Amit Vaisman, Gal Pomerants, Raz Lapid
Modern image compression methods are typically optimized for the rate--distortion--perception trade-off, whereas their robustness to bit-level corruption is rarely examined. We sho…