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Shi-Qi Zhang

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#artificial intelligence Preprint Oct 2026

Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration

Multimodal benchmarks are central to evaluating whether models can reason over information from multiple modalities. However, existing literature has revealed that some benchmarks may contain shortcut items that can be answered from a single modality or from answer-option regularities alone, thus failing to reflect mod...

Shi-Qi Zhang, Weixin Zeng, Zi-Heng Zhang et al. · 0 citations

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