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S. Rahman

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Preprint Aug 2026

Beyond Global Editing: Per-Instance Disentangled Subspaces for Training-Free Hallucination Mitigation in LVLMs

This work proposes a training-free hallucination mitigation framework for dynamic, per-instance suppression at test time, and proposes a dynamically combined projection that selectively suppresses the most probable hallucination directions while preserving image-grounded semantics.

Ali Cheraghian, Hamidreza Dastmalchi, Hamed Barzamini et al. · 0 citations