Per-instance adaptive projection onto clustered hallucination subspaces reduces LVLM hallucination on CHAIR and POPE benchmarks without fine-tuning.
Hime: Mitigating object hallucinations in lvlms via hallucination in- sensitivity model editing, 2026
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Beyond Global Editing: Per-Instance Disentangled Subspaces for Training-Free Hallucination Mitigation in LVLMs
Per-instance adaptive projection onto clustered hallucination subspaces reduces LVLM hallucination on CHAIR and POPE benchmarks without fine-tuning.