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University of Southern California
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ORBIT achieves superior multi-attribute steering in language models without the need for retraining, overcoming the limitations of previous methods that struggle with norm imbalance and directional cancellation.
Naively applying gRPC to cross-silo federated learning with large models can be a bottleneck; gRPC+S3 offers a surprisingly effective solution.