MM-SpuBench: Towards Better Understanding of Spurious Biases in
Multimodal LLMs
MM-SpuBench: Towards Better Understanding of Spurious Biases in
Multimodal LLMs
Spurious bias, a tendency to use spurious correlations between non-essential input attributes and target variables for predictions, has revealed a severe robustness pitfall in deep learning models trained on single modality data. Multimodal Large Language Models (MLLMs), which integrate both vision and language models, have demonstrated strong capability in joint …