HA-DPO reframes hallucination reduction in LVLMs as direct preference optimization over style-consistent positive and negative response pairs, yielding large gains such as 35-point POPE accuracy jumps on MiniGPT-4.
( hallucination: There is no description involving trees in the background and the slope being covered in snow
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Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
HA-DPO reframes hallucination reduction in LVLMs as direct preference optimization over style-consistent positive and negative response pairs, yielding large gains such as 35-point POPE accuracy jumps on MiniGPT-4.