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Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM., , , , , , , , , and 1 other author(s). CoRR, (2024)The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment., , , , and . CoRR, (2023)Libri-Light: A Benchmark for ASR with Limited or No Supervision., , , , , , , , , and 5 other author(s). ICASSP, page 7669-7673. IEEE, (2020)RA-DIT: Retrieval-Augmented Dual Instruction Tuning., , , , , , , , , and 2 other author(s). CoRR, (2023)TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch., , , , , , , , , and 10 other author(s). ASRU, page 1-9. IEEE, (2023)MODeL: Memory Optimizations for Deep Learning., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 32618-32632. PMLR, (2023)TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch., , , , , , , , , and 14 other author(s). CoRR, (2023)Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training., , , , , , , , , and 1 other author(s). Interspeech, page 721-725. ISCA, (2021)Rethinking Evaluation in ASR: Are Our Models Robust Enough?, , , , , , , and . Interspeech, page 311-315. ISCA, (2021)slimIPL: Language-Model-Free Iterative Pseudo-Labeling., , , , and . Interspeech, page 741-745. ISCA, (2021)