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Sentiment in social-media conversations is significantly influenced by discourse moves, with specific interventions capable of mitigating negativity or amplifying hostility.
RubSE transforms UI-to-code generation by using structured rubrics to stabilize self-evolution, outperforming traditional methods in both stability and performance.
Generating synthetic data for humanoid robots can boost loco-manipulation performance by 20% compared to relying solely on real-world data.
