Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning Capabilities

The paper introduces Illusion-Reasoning, a benchmark that uses real-world visual illusion images paired with annotated question-answer pairs to evaluate Large Vision Language Models (LVLMs). It argues that current evaluations focus too narrowly on perception or specific domains, and that a joint assessment of perception and reasoning in open-world settings is lacking. Using this benchmark, the authors demonstrate that many LVLMs’ reasoning abilities are less advanced than previously claimed, offering new insights and directions for optimization.

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• llms
• benchmarks