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MIOH provides a controlled framework for analyzing multi-image object hallucination and serves as a critical evaluation tool for developing more reliable multimodal AI systems.
This work identifies batch prompting as a distinct safety failure mode, not reducible to known vulnerabilities such as in-context learning or long-context effects, and analyzes its causes from two complementary perspectives: alignment signal weakening and refusal signal dilution.
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