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Achieving superior simultaneous speech translation quality without altering LLM architecture could redefine efficiency in real-time translation tasks.
MetaRouter learns user preferences for LLM routing with minimal interaction, outperforming traditional methods in diverse scenarios.
By aggregating Gram matrices instead of low-rank factors, FLoRG sidesteps decomposition drift in federated LoRA, achieving up to 2041x communication savings and improved accuracy.
