2 papers
cs.CV2026
Improving Sample Diversity in Autoregressive Text-to-Image Generation via Cluster Truncation
Trang Nguyen, Shuang Wu, Runyan Tan +1
While diffusion models achieve state-of-the-art image quality for text-to-image (T2I) generation, recent work has demonstrated that they suffer from sample diversity collapse. In t…
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…