2026
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
ICML 2026poster
Multimodal Large Language Models (MLLMs) have significantly improved the performance of various tasks, but continue to suffer from visual hallucinations, a critical issue where generated responses contradict visual evidence. While Direct Preference Optimization (DPO) is widely used for alignment, it…