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* **`2024.08.20`** 🌟 We are proud to open-source MME-Unify, a comprehensive evaluation framework designed to systematically assess U-MLLMs. Our Benchmark covers 10 tasks with 30 subtasks, ensuring consistent and fair comparisons across studies.
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Paper: arxiv.org/abs/
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Code: https://github.com/MME-Benchmarks/MME-Unify
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* **`2024.08.20`** 🌟 We are proud to open-source MME-Unify, a comprehensive evaluation framework designed to systematically assess U-MLLMs. Our Benchmark covers 10 tasks with 30 subtasks, ensuring consistent and fair comparisons across studies.
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Paper: https://arxiv.org/abs/2504.03641
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Code: https://github.com/MME-Benchmarks/MME-Unify
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