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Current video generation benchmarks overlook crucial aspects of physical plausibility and temporal coherence, highlighting the need for holistic evaluation metrics like PhyScore.
Current world models struggle with basic physical interaction tasks like distance perception and trajectory following, highlighting a critical gap in their ability to simulate realistic environments.
Automating the translation of economic intuitions into executable computational experiments is now possible, potentially accelerating the pace of economic research.
Uncover the hidden drivers behind your KPIs: a new attribution framework finally explains *why* your metrics move, not just *what* changed.
Compact student models can now achieve near EEG foundation model performance with significantly reduced model size and inference cost, thanks to a novel knowledge distillation framework.
Jointly modeling need prediction and service recommendation in an LLM framework dramatically improves local life service recommendations, outperforming traditional isolated approaches.
Lightweight MLLMs can punch far above their weight in GUI automation when given the right training diet and a little help from their friends.
