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Tsinghua University, Beijing National Research Center for Information Science and Technology
Tsinghua AI3
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Counterfactual controllability in video generation could be the key to creating self-evolving world models that understand and adapt to their actions.
Predicting drug synergy for novel compounds just got a whole lot better with a new GraphLLM that bridges the gap between molecular structure and semantic understanding.
LLMs can be sped up by 21% at inference time without retraining, thanks to a new sparsity method that smartly prunes activations based on the importance of the weights they interact with.
