SDGBiasBench: Benchmarking and Mitigating Vision--Language Models' Biases in Sustainable Development Goals
Quick Take
SDGBiasBench benchmarks biases in vision-language models related to Sustainable Development Goals and proposes a mitigation method.
Key Points
- Introduces a benchmark suite with 500k questions and 50k regression tasks.
- Identifies intrinsic biases in current vision-language models.
- Proposes CADE method, improving accuracy and reducing regression errors.
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