Author

Yuhao Dong

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Jul 2026

PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models

PerceptionBench provides a capability-level standard for measuring and diagnosing the visual perception boundaries of MLLMs, by diagnosing the earliest failure points in the responses of frontier MLLMs across 42 existing benchmarks and constructing an error taxonomy whose perception branch defines ten atomic perceptual capabilities.

Zichao Lin, Yifeng Xie, Bowen Qu et al. · arXiv.org · 2 citations

Preprint Jul 2026

Apple-$\pi$: Benchmarking Thinking with Video Towards Law-Grounded Physical Intelligence

Apple-PI is introduced, the first benchmark that anchors video-model evaluation explicitly in physical laws, and is positioned as a diagnostic foundation for guiding future video models toward world models with law-grounded physical intelligence.

Runmao Yao, Kairui Hu, Yukang Cao et al. · 1 citation

Jul 2026

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding

This work introduces VideoChat3, a fully open, efficient, and generalist video-centric MLLM, which surpasses prior open-source models with equal or larger parameter counts with only 4B parameters and higher efficiency.

Xinhao Li, Yuhan Zhu, Xiangyun Zeng et al. · arXiv.org · 4 citations