OPPO is an evidence-aware preference optimization objective that contrasts faithful responses under varying visual evidence strengths to reduce hallucinations in MLLMs.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
IC-VCO places contrastive images in one context for a consistent DPO-style objective, adds Visual Contrast Distillation, and uses semantic perturbation for hard negatives, reporting best results on five benchmarks.
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Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation
OPPO is an evidence-aware preference optimization objective that contrasts faithful responses under varying visual evidence strengths to reduce hallucinations in MLLMs.
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Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
IC-VCO places contrastive images in one context for a consistent DPO-style objective, adds Visual Contrast Distillation, and uses semantic perturbation for hard negatives, reporting best results on five benchmarks.