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Zhejiang University
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Robot policies can achieve faster task completion by learning to decouple *where* to go from *when* to execute, outperforming fixed-interval action prediction.
A hybrid LLM architecture achieved 99.2% accuracy in O-RADS classification, outperforming traditional methods and highlighting the potential for reliable clinical automation.
A novel computational framework reveals how team communication dynamics in VR can be dissected into coherent phases that align with specific actions, enhancing our understanding of collaboration.
PracRepair fixes 162 out of 171 bugs in a challenging benchmark, showcasing a leap in automated program repair capabilities through human-inspired debugging techniques.
