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UniMPA, a Unified Memory-Prediction-Action model that addresses transition ambiguity by modeling the intended future state evolution through a shared action-grounded transition interface, is proposed.
FlowPipe achieves a remarkable 11.96% accuracy improvement and 12.5x faster training convergence for data preparation pipelines by leveraging LLMs and advanced flow generation techniques.
Stop leaving money on the table: a joint bidding and pricing framework closes the gap between predicted and optimal bids, boosting ad revenue by 4.7%.
Stop predicting the future, start predicting *change*: $螖$VLA guides robotic action by modeling how world knowledge *varies* under actions, not by forecasting absolute future states.
