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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.
GeoAAC is proposed, a geometry-based adaptive action chunking method for flow-based VLA policies that adjusts the action horizon according to the reliability of the current action prediction, with geometric variation across action prefixes remaining positively correlated with predictive uncertainty.