Machel Reid

According to our database, Machel Reid authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

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.

CoRR, 2024

2023

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.

Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi

CoRR, 2023

DiffusER: Diffusion via Edit-based Reconstruction.

Machel Reid, Vincent Josua Hellendoorn, Graham Neubig

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pivot Pre-finetuning for Low Resource MT: A Case Study in Kikamba.

Stephen Ngumbi Kiilu, Machel Reid

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations.

Jonas Pfeiffer, Francesco Piccinno, Massimo Nicosia, Xinyi Wang, Machel Reid, Sebastian Ruder

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Role of Parallel Data in Cross-lingual Transfer Learning.

Machel Reid, Mikel Artetxe

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

DiffusER: Discrete Diffusion via Edit-based Reconstruction.

Machel Reid, Vincent J. Hellendoorn, Graham Neubig

CoRR, 2022

Can Wikipedia Help Offline Reinforcement Learning?

Machel Reid, Yutaro Yamada, Shixiang Shane Gu

CoRR, 2022

Large Language Models are Zero-Shot Reasoners.

Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining.

Machel Reid, Mikel Artetxe

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation.

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 K. Sibanda, Andiswa Bukula, Sam Manthalu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

M2D2: A Massively Multi-Domain Language Modeling Dataset.

Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Model Editing Processes.

Machel Reid, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing.

Itsuki Okimura, Machel Reid, Makoto Kawano, Yutaka Matsuo

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers.

Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages.

Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer.

Machel Reid, Victor Zhong

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Variational Inference for Learning Representations of Natural Language Edits.

Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages.

Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo

Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling.

Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020