2026
Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
ICLR 2026poster
Machine learning models trained on real-world data often inherit and amplify biases against certain social groups, raising urgent concerns about their deployment at scale. While numerous bias mitigation methods have been proposed, comparing the effectiveness of bias mitigation methods remains diffic…