A study of InstructBLIP and mPLUG-Owl2 finds that scene words like grass and tree co-occur with hallucinated objects, and a two-step foreground/background prompt lowers hallucination scores.
Instructblip: Towards general- purpose vision-language models with instruction tuning
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Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis
A study of InstructBLIP and mPLUG-Owl2 finds that scene words like grass and tree co-occur with hallucinated objects, and a two-step foreground/background prompt lowers hallucination scores.