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Medical image reasoning claims are often inflated by shortcuts, with accuracy plummeting to 5.21% when these cues are mitigated.
Attackers can now induce specific failure behaviors in VLA models with unprecedented precision, revealing a new dimension of vulnerability in AI systems.
A novel closed-loop framework enables multi-robot systems to achieve robust manipulation by integrating LLMs with real-time feedback mechanisms.
