SYSTRAN @ WMT 2021: Terminology Task. - Minh Quang Pham; Josep Maria Crego; Antoine Senellart; Dan Berrebbi; Jean Senellart (WMT@EMNLP, 2021)

Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization. - Brian Yan; Chunlei Zhang; Meng Yu 003; Shi-Xiong Zhang 001; Siddharth Dalmia; Dan Berrebbi; Chao Weng; Shinji Watanabe 001; Dong Yu 001 (ICASSP, 2022)

Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation. - Dan Berrebbi; Jiatong Shi; Brian Yan; Osbel López-Francisco; Jonathan D. Amith; Shinji Watanabe 001 (INTERSPEECH, 2022)

CMU's IWSLT 2022 Dialect Speech Translation System. - Brian Yan; Patrick Fernandes; Siddharth Dalmia; Jiatong Shi; Yifan Peng 003; Dan Berrebbi; Xinyi Wang 001; Graham Neubig; Shinji Watanabe 001 (IWSLT@ACL, 2022)

GraphCite: Citation Intent Classification in Scientific Publications via Graph Embeddings. - Dan Berrebbi; Nicolas Huynh; Oana Balalau (WWW (Companion Volume), 2022)

ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. - Brian Yan; Jiatong Shi; Yun Tang 002; Hirofumi Inaguma; Yifan Peng 003; Siddharth Dalmia; Peter Polak; Patrick Fernandes; Dan Berrebbi; Tomoki Hayashi; Xiaohui Zhang 007; Zhaoheng Ni; et al. (ACL (demo), 2023)

Joint Prediction and Denoising for Large-Scale Multilingual Self-Supervised Learning. - William Chen; Jiatong Shi; Brian Yan; Dan Berrebbi; Wangyou Zhang; Yifan Peng 003; Xuankai Chang; Soumi Maiti; Shinji Watanabe 001 (ASRU, 2023)

Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data. - Yifan Peng 003; Jinchuan Tian; Brian Yan; Dan Berrebbi; Xuankai Chang; Xinjian Li; Jiatong Shi; Siddhant Arora; William Chen; Roshan S. Sharma; Wangyou Zhang; Yui Sudo; et al. (ASRU, 2023)

Findings of the 2023 ML-Superb Challenge: Pre-Training And Evaluation Over More Languages And Beyond. - Jiatong Shi; William Chen; Dan Berrebbi; Hsiu-Hsuan Wang; Wei-Ping Huang; En-Pei Hu; Ho-Lam Chuang; Xuankai Chang; Yuxun Tang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-Yi Lee; et al. (ASRU, 2023)

More Speaking or More Speakers? - Dan Berrebbi; Ronan Collobert; Navdeep Jaitly; Tatiana Likhomanenko (ICASSP, 2023)

Avoid Overthinking in Self-Supervised Models for Speech Recognition. - Dan Berrebbi; Brian Yan; Shinji Watanabe 001 (ICASSP, 2023)

Continuous pseudo-labeling from the start. - Dan Berrebbi; Ronan Collobert; Samy Bengio; Navdeep Jaitly; Tatiana Likhomanenko (ICLR, 2023)

ML-SUPERB: Multilingual Speech Universal PERformance Benchmark. - Jiatong Shi; Dan Berrebbi; William Chen; En-Pei Hu; Wei-Ping Huang; Ho-Lam Chung; Xuankai Chang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; Shinji Watanabe 001 (INTERSPEECH, 2023)

Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond. - Jiatong Shi; William Chen; Dan Berrebbi; Hsiu-Hsuan Wang; Wei-Ping Huang; En-Pei Hu; Ho-Lam Chung; Xuankai Chang; Yuxun Tang; Shang-Wen Li 001; Abdelrahman Mohamed; Hung-yi Lee; et al. (CoRR, 2023)