T2I models frequently exhibit semantic errors, logical inconsistencies, and incorrect reasoning steps in visual text generation tasks, unlike text-only models.
Improving chain- of-thought efficiency for autoregressive image generation
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Evaluating Reasoning Fidelity in Visual Text Generation
T2I models frequently exhibit semantic errors, logical inconsistencies, and incorrect reasoning steps in visual text generation tasks, unlike text-only models.