wav2letter++: The Fastest Open-source Speech Recognition System. - Vineel Pratap; Awni Y. Hannun; Qiantong Xu; Jeff Cai; Jacob Kahn; Gabriel Synnaeve; Vitaliy Liptchinsky; Ronan Collobert (CoRR, 2018)

Wav2Letter++: A Fast Open-source Speech Recognition System. - Vineel Pratap; Awni Y. Hannun; Qiantong Xu; Jeff Cai; Jacob Kahn; Gabriel Synnaeve; Vitaliy Liptchinsky; Ronan Collobert (ICASSP, 2019)

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures. - Gabriel Synnaeve; Qiantong Xu; Jacob Kahn; Edouard Grave; Tatiana Likhomanenko; Vineel Pratap; Anuroop Sriram; Vitaliy Liptchinsky; Ronan Collobert (CoRR, 2019)

Self-Training for End-to-End Speech Recognition. - Jacob Kahn; Ann Lee 001; Awni Y. Hannun (ICASSP, 2020)

Libri-Light: A Benchmark for ASR with Limited or No Supervision. - Jacob Kahn; Morgane Rivière; Weiyi Zheng; Evgeny Kharitonov; Qiantong Xu; Pierre-Emmanuel Mazaré; Julien Karadayi; Vitaliy Liptchinsky; Ronan Collobert; Christian Fuegen; Tatiana Likhomanenko; Gabriel Synnaeve; et al. (ICASSP, 2020)

Scaling Up Online Speech Recognition Using ConvNets. - Vineel Pratap; Qiantong Xu; Jacob Kahn; Gilad Avidov; Tatiana Likhomanenko; Awni Y. Hannun; Vitaliy Liptchinsky; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2020)

Iterative Pseudo-Labeling for Speech Recognition. - Qiantong Xu; Tatiana Likhomanenko; Jacob Kahn; Awni Y. Hannun; Gabriel Synnaeve; Ronan Collobert (INTERSPEECH, 2020)

Differentiable Weighted Finite-State Transducers. - Awni Y. Hannun; Vineel Pratap; Jacob Kahn; Wei-Ning Hsu (CoRR, 2020)

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training. - Wei-Ning Hsu; Anuroop Sriram; Alexei Baevski; Tatiana Likhomanenko; Qiantong Xu; Vineel Pratap; Jacob Kahn; Ann Lee 001; Ronan Collobert; Gabriel Synnaeve; Michael Auli (Interspeech, 2021)

slimIPL: Language-Model-Free Iterative Pseudo-Labeling. - Tatiana Likhomanenko; Qiantong Xu; Jacob Kahn; Gabriel Synnaeve; Ronan Collobert (Interspeech, 2021)

Rethinking Evaluation in ASR: Are Our Models Robust Enough? - Tatiana Likhomanenko; Qiantong Xu; Vineel Pratap; Paden Tomasello; Jacob Kahn; Gilad Avidov; Ronan Collobert; Gabriel Synnaeve (Interspeech, 2021)

Flashlight: Enabling Innovation in Tools for Machine Learning. - Jacob D. Kahn; Vineel Pratap; Tatiana Likhomanenko; Qiantong Xu; Awni Y. Hannun; Jeff Cai; Paden Tomasello; Ann Lee 001; Edouard Grave; Gilad Avidov; Benoit Steiner; Vitaliy Liptchinsky; et al. (ICML, 2022)

OLLA: Decreasing the Memory Usage of Neural Networks by Optimizing the Lifetime and Location of Arrays. - Benoit Steiner; Mostafa Elhoushi; Jacob Kahn; James Hegarty (CoRR, 2022)

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch. - Jeff Hwang; Moto Hira; Caroline Chen; Xiaohui Zhang 007; Zhaoheng Ni; Guangzhi Sun; Pingchuan Ma 001; Ruizhe Huang; Vineel Pratap; Yuekai Zhang; Anurag Kumar 003; Chin-Yun Yu; et al. (ASRU, 2023)

The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment. - Jared Fernandez; Jacob Kahn; Clara Na; Yonatan Bisk; Emma Strubell (EMNLP, 2023)

MODeL: Memory Optimizations for Deep Learning. - Benoit Steiner; Mostafa Elhoushi; Jacob Kahn; James Hegarty (ICML, 2023)

The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment. - Jared Fernandez; Jacob Kahn; Clara Na; Yonatan Bisk; Emma Strubell (CoRR, 2023)

TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch. - Jeff Hwang; Moto Hira; Caroline Chen; Xiaohui Zhang 007; Zhaoheng Ni; Guangzhi Sun; Pingchuan Ma 001; Ruizhe Huang; Vineel Pratap; Yuekai Zhang; Anurag Kumar 003; Chin-Yun Yu; et al. (CoRR, 2023)

Reasoning over Public and Private Data in Retrieval-Based Systems. - Simran Arora; Patrick S. H. Lewis; Angela Fan; Jacob Kahn; Christopher Ré (Trans. Assoc. Comput. Linguistics, 2023)

Altogether: Image Captioning via Re-aligning Alt-text. - Hu Xu 001; Po-Yao Huang 001; Xiaoqing Ellen Tan; Ching-Feng Yeh; Jacob Kahn; Christine Jou; Gargi Ghosh; Omer Levy; Luke Zettlemoyer; Wen-tau Yih; Shang-Wen Li 001; Saining Xie; et al. (EMNLP, 2024)

RA-DIT: Retrieval-Augmented Dual Instruction Tuning. - Xi Victoria Lin; Xilun Chen 002; Mingda Chen; Weijia Shi; Maria Lomeli; Richard James 001; Pedro Rodriguez 001; Jacob Kahn; Gergely Szilvasy; Mike Lewis; Luke Zettlemoyer; Wen-tau Yih (ICLR, 2024)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. - Sainbayar Sukhbaatar; Olga Golovneva; Vasu Sharma; Hu Xu 001; Xi Victoria Lin; Baptiste Rozière; Jacob Kahn; Daniel Li 006; Wen-tau Yih; Jason Weston; Xian Li 003 (CoRR, 2024)

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference. - Yejin Lee 010; Anna Y. Sun; Basil Hosmer; Bilge Acun; Can Balioglu; Changhan Wang; Charles David Hernandez; Christian Puhrsch; Daniel Haziza; Driss Guessous; Francisco Massa; Jacob Kahn; et al. (CoRR, 2024)

Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training. - Jared Fernandez; Luca Wehrstedt; Leonid Shamis; Mostafa Elhoushi; Kalyan Saladi; Yonatan Bisk; Emma Strubell; Jacob Kahn (CoRR, 2024)

Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. - Chunting Zhou; Lili Yu; Arun Babu; Kushal Tirumala; Michihiro Yasunaga; Leonid Shamis; Jacob Kahn; Xuezhe Ma; Luke Zettlemoyer; Omer Levy (ICLR, 2025)

Efficient Hardware Scaling and Diminishing Returns in Large-Scale Training of Language Models. - Jared Fernandez; Luca Wehrstedt; Leonid Shamis; Mostafa Elhoushi; Kalyan Saladi; Yonatan Bisk; Emma Strubell; Jacob Kahn (Trans. Mach. Learn. Res., 2025)