Yuan Shen
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This paper systematically evaluates tabular data referencing errors in large language models and presents methods to improve answer accuracy and detect errors.
This paper explores methods to reduce latency in GPU collective communications for large language model inference, achieving near-optimal designs with barrier-free synchronization and efficient use of symmetric memory and multicast.
This paper proposes SynPre-FL, a framework that combines high-fidelity synthetic EHR generation with federated learning for robust clinical prediction.
Papers
SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework
This paper proposes SynPre-FL, a framework that combines high-fidelity synthetic EHR generation with federated learning for robust clinical prediction.