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Diagnosing the Sources of Compositional Failure in Vision-Language Models: A Controlled Analysis
Vision-language models (VLMs) often struggle with compositional reasoning tasks, but the reasons for this underperformance remain unclear. A common hypothesis is that models struggle to integrate multiple components, leading to training interventions to improve compositional binding. However, this a
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