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Robot-synthesized data (abbreviated Ego
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Joint pretraining on Ego2Robot-synthesized data boosts robot generalization, achieving unprecedented scale and diversity in training datasets.
SciFigQual-Bench reveals that automated assessments of scientific figures can achieve unprecedented accuracy by integrating full-manuscript context, outperforming traditional evaluation methods.
Persona conditioning in LLMs can be exploited to amplify inference costs by over 200 times, revealing a critical vulnerability in their deployment.
ZR-0 achieves seamless cross-embodiment transfer in robotic manipulation by aligning high-level cognitive processes through innovative ECoT supervision.