AVES-DPO mitigates hallucinations in LVLMs by creating in-distribution preference pairs through the model's self-correction, outperforming baselines with only 5.2k samples.
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Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs
AVES-DPO mitigates hallucinations in LVLMs by creating in-distribution preference pairs through the model's self-correction, outperforming baselines with only 5.2k samples.