VL-LCM measures vision-language logical consistency without annotations and shows that recent MLLMs have high accuracy but low logical consistency on benchmarks like MMMU and NaturalBench.
Amber: advancing multimodal brain-computer interfaces for enhanced robustness—a dataset for naturalistic settings.Frontiers in Neuroergonomics, V olume 4 - 2023,
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Towards Annotation-Free Validation of MLLMs: A Vision-Language Logical Consistency Metric
VL-LCM measures vision-language logical consistency without annotations and shows that recent MLLMs have high accuracy but low logical consistency on benchmarks like MMMU and NaturalBench.