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Author

Ali Cheraghian

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Preprint Aug 2026

Test-Time Hallucination Control in Large Vision-Language Models

Object Hallucination in large vision-language models (LVLMs), where models generate non-factual content about input images, remains a critical barrier to their reliability in real-world applications. Existing mitigation strategies can be categorized into training-based and training-free methods. Training-based methods...

Mehran Tamjidi, Hamidreza Dastmalchi, Ali Cheraghian et al. · 0 citations
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

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