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## Updates & News
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- [02/20/2024] Our new work **TrustGen** and **TrustEval** toolkit has been released! [TrustGen](https://trustgen.github.io/) is a comprehensive framework for trustworthiness in generative foundation models that provides Guidelines, Assessment, and Perspective across multiple dimensions and model types including text-to-image models, large language models, and vision-language models. We also open-source our [TrustEval](https://github.com/TrustGen/TrustEval-toolkit) toolkit serving as a dynamic evaluation platform for trustworthiness in generative foundation models.
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- [02/20/2024] Our new work **TrustGen** and **TrustEval** toolkit has been released! [TrustGen](https://trustgen.github.io/) provides a comprehensive guidelines, wssessment, and perspective for trustworthiness across multiple generative models, and [TrustEval](https://github.com/TrustGen/TrustEval-toolkit) offers a dynamic evaluation platform.
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- [01/09/2024] **TrustLLM** toolkit has been downloaded for 4000+ times!
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- [15/07/2024] **TrustLLM** now supports [**UniGen**](https://unigen-framework.github.io/) for dynamic evaluation.
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- [02/05/2024] 🥂 **TrustLLM has been accepted by ICML 2024! See you in Vienna!**

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