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Aalto University, ELLIS Institute
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Benign-looking visual fine-tuning can silently trigger system-wide alignment failures, causing VLMs to hallucinate facts, execute risky agentic actions, and drop jailbreak defenses across completely unrelated tasks.
Chain-of-thought reasoning in multimodal LLMs falls apart when faced with slightly different scenarios, but surprisingly, mixing text formats in the reasoning process helps them generalize better than using images.