Machel Reid

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 34

Top Topics

Transfer Learning

Text Segmentation

Top Venues

EMNLP (Findings)

Publications

Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. CoRR (2024)
Akari Asai, Sneha Kudugunta, Xinyan Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. NAACL-HLT (2024)
Jonas Pfeiffer, Francesco Piccinno, Massimo Nicosia, Xinyi Wang, Machel Reid, Sebastian Ruder
mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations. CoRR (2023)
Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. CoRR (2023)
Machel Reid, Vincent Josua Hellendoorn, Graham Neubig
DiffusER: Diffusion via Edit-based Reconstruction. ICLR (2023)
Stephen Ngumbi Kiilu, Machel Reid
Pivot Pre-finetuning for Low Resource MT: A Case Study in Kikamba. Tiny Papers @ ICLR (2023)
Jonas Pfeiffer, Francesco Piccinno, Massimo Nicosia, Xinyi Wang, Machel Reid, Sebastian Ruder
mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations. EMNLP (Findings) (2023)
Machel Reid, Mikel Artetxe
On the Role of Parallel Data in Cross-lingual Transfer Learning. ACL (Findings) (2023)
Machel Reid, Yutaro Yamada, Shixiang Shane Gu
Can Wikipedia Help Offline Reinforcement Learning? CoRR (2022)
David Ifeoluwa Adelani, Jesujoba O. Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ajibade, Tunde Ajayi, Yvonne Wambui Gitau, Jade Z. Abbott, Mohamed Ahmed, Millicent Ochieng, Aremu Anuoluwapo, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing Sibanda, Andiswa Bukula, Sam Manthalu
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. NAACL-HLT (2022)
Machel Reid, Vincent J. Hellendoorn, Graham Neubig
DiffusER: Discrete Diffusion via Edit-based Reconstruction. CoRR (2022)
Machel Reid, Graham Neubig
Learning to Model Editing Processes. CoRR (2022)
Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
M2D2: A Massively Multi-domain Language Modeling Dataset. CoRR (2022)
Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
M2D2: A Massively Multi-Domain Language Modeling Dataset. EMNLP (2022)
Machel Reid, Graham Neubig
Learning to Model Editing Processes. EMNLP (Findings) (2022)
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa
Large Language Models are Zero-Shot Reasoners. NeurIPS (2022)
Machel Reid, Mikel Artetxe
On the Role of Parallel Data in Cross-lingual Transfer Learning. CoRR (2022)
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa
Large Language Models are Zero-Shot Reasoners. CoRR (2022)
Machel Reid, Mikel Artetxe
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. NAACL-HLT (2022)
David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, Julia Kreutzer, Xiaoyu Shen, Machel Reid, Dana Ruiter, Dietrich Klakow, Peter Nabende, Ernie Chang, Tajuddeen Gwadabe, Freshia Sackey, Bonaventure F. P. Dossou, Chris Chinenye Emezue, Colin Leong, Michael Beukman, Shamsuddeen Hassan Muhammad, Guyo Dub Jarso, Oreen Yousuf, Andre Niyongabo Rubungo, Gilles Hacheme, Eric Peter Wairagala, Muhammad Umair Nasir, Benjamin Ayoade Ajibade, Tunde Oluwaseyi Ajayi, Yvonne Wambui Gitau, Jade Z. Abbott, Mohamed Ahmed, Millicent Ochieng, Aremu Anuoluwapo, Perez Ogayo, Jonathan Mukiibi, Fatoumata Ouoba Kabore, Godson Koffi Kalipe, Derguene Mbaye, Allahsera Auguste Tapo, Victoire Memdjokam Koagne, Edwin Munkoh-Buabeng, Valencia Wagner, Idris Abdulmumin, Ayodele Awokoya, Happy Buzaaba, Blessing Sibanda, Andiswa Bukula, Sam Manthalu
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. CoRR (2022)
Machel Reid, Mikel Artetxe
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. RepL4NLP@ACL (2022)
Itsuki Okimura, Machel Reid, Makoto Kawano, Yutaka Matsuo
On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing. Insights@ACL (2022)
Machel Reid, Victor Zhong
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. CoRR (2021)
Machel Reid, Victor Zhong
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. ACL/IJCNLP (Findings) (2021)
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers. CoRR (2021)
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers. EMNLP (Findings) (2021)
Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. CoRR (2021)
Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo
Variational Inference for Learning Representations of Natural Language Edits. AAAI (2021)
Machel Reid, Mikel Artetxe
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. CoRR (2021)
Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo
AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. EMNLP (1) (2021)
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo
Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages. CoRR (2020)
Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo
Variational Inference for Learning Representations of Natural Language Edits. CoRR (2020)
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling. EMNLP (1) (2020)
Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo
VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling. CoRR (2020)