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thu-ml · Jul 9, 2024 · ea4b476 · ea4b476
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 ![framework](docs/structure/framework.jpg)
 
 
-**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 and self-curated datasets to expose new trustworthiness challenges. 
+> **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 and self-curated datasets to expose new trustworthiness challenges. 
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 ## 🚀 News
 * **`2024.07.07`** 🌟 We released the latest results for [GPT-4o](https://openai.com/index/hello-gpt-4o/), [Claude-3.5](https://www.anthropic.com/news/claude-3-5-sonnet), and [Phi-3](https://ollama.com/library/phi3) on our [project website](https://multi-trust.github.io/) ！