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East China Normal University
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Tailoring feedback to individual student abilities could revolutionize how automated essay scoring systems support personalized learning.
Scaling AEB systems with massive unlabeled data can lead to a 35% increase in accident-free driving mileage while maintaining a positive-to-false activation ratio over 100:1.
Tactile feedback can transform robotic manipulation, enabling real-time adaptation that boosts success rates in challenging contact-rich tasks.
Geometry dictates model performance in relational learning, with rankings shifting dramatically across curvature regimes, challenging the reliability of standard evaluation practices.
LLMs working as specialized teams dramatically outperform solo LLMs on complex, multi-step reasoning tasks, suggesting a new paradigm for LLM collaboration.
