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README.md

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 <h2 align="center">Benchmarking Trustworthiness of Multimodal Large Language Models:<br>
 A Comprehensive Study
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 > **MultiTrust** is a comprehensive benchmark designed to assess and enhance the trustworthiness of MLLMs across five key dimensions: truthfulness, safety, robustness, fairness, and privacy. It integrates a rigorous evaluation strategy involving 32 diverse tasks to expose new trustworthiness challenges. 
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 - A global analysis reveals a correlation coefficient of 0.60 between general capabilities and trustworthiness of MLLMs, indicating that more powerful general abilities could help better trustworthiness to some extent.
 - Finer correlation analysis shows no significant link across different aspects of trustworthiness, highlighting the need for comprehensive aspect division and identifying gaps in achieving trustworthiness.
 
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 ## :black_nib: Citation