thu-ml/MultiTrust

MultiTrust: A Comprehensive Benchmark on the Trustworthiness of Multimodal Large Language Models Overview MultiTrust delves into the novel risks of multimodal LLMs (MLLMs) to provide valuable insights for further improvements in their trustworthiness. This is a comprehensive benchmark across five key dimensions: truthfulness, safety, robustness, fairness, and privacy. It integrates a rigorous evaluation strategy involving 32 diverse tasks to expose new trustworthiness… See the full description on the dataset page: https://huggingface.co/datasets/thu-ml/MultiTrust.

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