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Hierarchical Generative Modeling for Controllable Speech Synthesis., , , , , , , , , and 2 other author(s). CoRR, (2018)Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data., , , , , , , , , and . ICASSP, page 6558-6562. IEEE, (2021)Scaling End-to-End Models for Large-Scale Multilingual ASR., , , , , , , , , and . ASRU, page 1011-1018. IEEE, (2021)MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training., , , , , , , , , and 22 other author(s). CoRR, (2024)Apple Intelligence Foundation Language Models., , , , , , , , , and 90 other author(s). CoRR, (2024)Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training., , , , , , , and . CoRR, (2024)Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models., , , , , and . Interspeech, page 1807-1811. ISCA, (2021)ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities., , , , , , , , , and 2 other author(s). CoRR, (2024)A Better and Faster End-to-End Model for Streaming ASR., , , , , , , , , and 5 other author(s). CoRR, (2020)Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition, , , , , , , and . (2020)cite arxiv:2010.10504Comment: 11 pages, 3 figures, 5 tables. Submitted to NeurIPS SAS 2020 Workshop.