Author

Chen Chen

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#small language model Preprint Oct 2026

VisualWorldBench: A Fine-Grained Multi-Task Benchmark for Evaluating Visual World Knowledge in MLLMs

This work introduces VisualWorldBench, a taxonomy-grounded multi-task benchmark built on a hierarchical taxonomy of 21,291 leaf-node classes across 8 visual domains, with 32,541 evaluation instances whose ground-truth labels cover 15,479 categories across four complementary tasks.

Chen Chen, Zhe-Ming Liang, Jia-Qi Wang · 0 citations