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University of California, Merced
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OpenClaw agents are vulnerable to token-exhaustion attacks via Trojanized skills, but their self-directed tool use can unexpectedly alter attack dynamics.
Image generation models can now reason about spatial relationships with significantly improved accuracy thanks to a novel reinforcement learning framework that iteratively refines images based on spatial consistency checks.
