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Fine-grained dataset distillation can achieve superior performance by focusing on localized evidence rather than just global statistics.
LabRobFail reveals that a specialized vision-language model can boost robotic task success rates by up to 20% through enhanced failure understanding.
Existing agents excel at structured tasks but falter in feedback-driven operations and long-horizon workflows, revealing critical gaps in their capabilities for scientific instrument control.
