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cs.CV2026
Visual Semantic Entropy: Do Vision Language Models Recognize Visual Ambiguity?
Ta Duc Huy, Trang Nguyen, Townim Chowdhury +5
Vision-language models can produce confident answers on visually ambiguous inputs, resulting in biased predictions. Common entropy-based methods, such as Semantic Entropy (SE), rel…
cs.CV2025
Revisiting Vision Language Foundations for No-Reference Image Quality Assessment
Ankit Yadav, Ta Duc Huy, Lingqiao Liu
Large-scale vision language pre-training has recently shown promise for no-reference image-quality assessment (NR-IQA), yet the relative merits of modern Vision Transformer foundat…
cs.CV2025
Exploring Primitive Visual Measurement Understanding and the Role of Output Format in Learning in Vision-Language Models
Ankit Yadav, Lingqiao Liu, Yuankai Qi
This work investigates the capabilities of current vision-language models (VLMs) in visual understanding and attribute measurement of primitive shapes using a benchmark focused on…