VCE mitigates object hallucination in LVLMs by decomposing activation patterns from contrastive visual inputs via SVD to suppress hallucination subspaces through targeted parameter edits.
Experiment Setups Datasets.We evaluate the VCE method on popular hallucina- tion benchmarks: POPE [18] and CHAIR [19]
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VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing
VCE mitigates object hallucination in LVLMs by decomposing activation patterns from contrastive visual inputs via SVD to suppress hallucination subspaces through targeted parameter edits.