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Coverage-driven token pruning can significantly enhance the efficiency of 3D VLMs without sacrificing reasoning capabilities.
CoQui achieves superior image generation quality with fewer qubits by decoupling pixel control from quantum resource constraints.
DURA reveals that visually indistinguishable adversarial patches can exploit VLA models, posing a significant threat to their deployment in real-world robotics.
EER may mislead researchers about the effectiveness of voice anonymization, while privacy-ZEBRA offers a more accurate lens on information leakage.
Environment evolution can reveal 17% more safety failures in complex tasks compared to static benchmarks, reshaping our understanding of agent vulnerabilities.
Enfold redefines how we leverage world generative models, enabling ultra-efficient control that adapts dynamically to real-time changes in the environment.
Even state-of-the-art multimodal LLMs like GPT-5.2 and Claude 4.5 can be jailbroken nearly half the time using OpenRT's diverse suite of attacks, revealing a critical lack of generalization across attack paradigms.