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cs.CL2026
Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning
Amita Kamath, Jack Hessel, Khyathi Chandu +3
The lack of reasoning capabilities in Vision-Language Models (VLMs) has remained at the forefront of research discourse. We posit that this behavior stems from a reporting bias in…
cs.CV2026
Unified Text-Image Generation with Weakness-Targeted Post-Training
Jiahui Chen, Philippe Hansen-Estruch, Xiaochuang Han +7
Unified multimodal generation architectures that jointly produce text and images have recently emerged as a promising direction for text-to-image (T2I) synthesis. However, many exi…