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The University of Hong Kong
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Rapidly prototype and benchmark robotic navigation scenarios using simple YAML configurations, eliminating the coding barrier in simulation.
HarnessFix reveals that targeted, trace-guided repairs can significantly enhance LLM agent performance by addressing specific harness flaws rather than relying on broad modifications.
Conformal prediction for graph time series doesn't have to break down: by conditioning on low-frequency trends, you can restore exchangeability and get valid uncertainty estimates.
Flow-based VLAs can react to environmental changes ten times faster by adaptively prioritizing near-term actions during sampling, unlocking unprecedented real-time responsiveness.