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Beijing Institute of Technology
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GAINS reveals that effectively modeling human imperfection can boost task success rates by over 20% in robot manipulation tasks.
SafeMCP effectively mitigates the risks of power-seeking behaviors in LLM agents while maintaining their operational utility.
Robots get a spatial-temporal reasoning boost with STARRY, a world model that aligns future predictions with action generation, leading to a significant jump in manipulation success.
Ditch the mask decoder: a single segmentation token can unlock competitive image segmentation directly from MLLMs.
