PM4Bench: A Parallel Multilingual Multi-Modal Multi-task Benchmark for Large Vision Language Model

• URL: http://arxiv.org/abs/2503.18484v1
• Date: Mon, 24 Mar 2025 09:38:37 GMT
• Title: PM4Bench: A Parallel Multilingual Multi-Modal Multi-task Benchmark for Large Vision Language Model
• Authors: Junyuan Gao, Jiahe Song, Jiang Wu, Runchuan Zhu, Guanlin Shen, Shasha Wang, Xingjian Wei, Haote Yang, Songyang Zhang, Weijia Li, Bin Wang, Dahua Lin, Lijun Wu, Conghui He,
• Abstract summary: We propose PM4Bench, the first Parallel Multilingual Multi-Modal Multi-task Benchmark for Large Vision Language Models.<n>It features a parallel corpus design across 10 languages, enabling fair and accurate cross-lingual comparisons.<n>It includes the vision setting where text and queries are embedded in images, requiring LVLMs to simultaneously "see", "read", and "think", aligning with real-world applications.
• Score: 75.98106427999411
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Existing multilingual benchmarks for Large Vision Language Models (LVLMs) suffer from limitations including language-specific content biases, disjointed multimodal input formats, and a lack of safety evaluation. To address these gaps, we propose PM4Bench, the first Parallel Multilingual Multi-Modal Multi-task Benchmark for LVLMs. PM4Bench features a parallel corpus design across 10 languages, enabling fair and accurate cross-lingual comparisons. It includes the vision setting where text and queries are embedded in images, requiring LVLMs to simultaneously "see", "read", and "think", aligning with real-world applications. Additionally, PM\textsuperscript{4}Bench incorporates safety evaluations, addressing critical oversight in existing multilingual benchmarks. Using PM4Bench, we evaluate 11 mainstream LVLMs, revealing significant cross-linguistic performance disparities, particularly in vision settings, and identifying OCR capability as a key determinant of these imbalances. We will release PM4Bench at https://github.com/opendatalab/PM4Bench .

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