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PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models

13 upvotes · 27 JUL 2026 · Zichao Lin, Yifeng Xie, Bowen Qu et al.

This paper introduces a benchmark to evaluate the atomic visual perception capabilities of large language models, which are often unable to accurately perceive visual information. Practitioners may care about this research because it provides a standardized way to measure and diagnose the limitations of visual perception in MLLMs.

multimodal large language modelsvisual perceptionatomic capabilitiesbenchmarkingperceptual errors