VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling. - Machel Reid; Edison Marrese-Taylor; Yutaka Matsuo (EMNLP (1), 2020)

Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages. - Machel Reid; Edison Marrese-Taylor; Yutaka Matsuo (AfricaNLP, 2020)

Variational Inference for Learning Representations of Natural Language Edits. - Edison Marrese-Taylor; Machel Reid; Yutaka Matsuo (AAAI, 2021)

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. - Machel Reid; Victor Zhong (ACL/IJCNLP (Findings), 2021)

AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages. - Machel Reid; Junjie Hu 001; Graham Neubig; Yutaka Matsuo (EMNLP (1), 2021)

Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers. - Machel Reid; Edison Marrese-Taylor; Yutaka Matsuo (EMNLP (Findings), 2021)

On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing. - Itsuki Okimura; Machel Reid; Makoto Kawano; Yutaka Matsuo (Insights@ACL, 2022)

Learning to Model Editing Processes. - Machel Reid; Graham Neubig (EMNLP (Findings), 2022)

M2D2: A Massively Multi-Domain Language Modeling Dataset. - Machel Reid; Victor Zhong; Suchin Gururangan; Luke Zettlemoyer (EMNLP, 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 001; Machel Reid; Dana Ruiter; Dietrich Klakow; Peter Nabende; Ernie Chang; Tajuddeen Gwadabe; Freshia Sackey; et al. (NAACL-HLT, 2022)

PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining. - Machel Reid; Mikel Artetxe (NAACL-HLT, 2022)

Large Language Models are Zero-Shot Reasoners. - Takeshi Kojima; Shixiang Shane Gu; Machel Reid; Yutaka Matsuo; Yusuke Iwasawa (NeurIPS, 2022)

Can Wikipedia Help Offline Reinforcement Learning? - Machel Reid; Yutaro Yamada; Shixiang Shane Gu (CoRR, 2022)

DiffusER: Discrete Diffusion via Edit-based Reconstruction. - Machel Reid; Vincent J. Hellendoorn; Graham Neubig (CoRR, 2022)

On the Role of Parallel Data in Cross-lingual Transfer Learning. - Machel Reid; Mikel Artetxe (ACL (Findings), 2023)

mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations. - Jonas Pfeiffer; Francesco Piccinno; Massimo Nicosia; Xinyi Wang 001; Machel Reid; Sebastian Ruder (EMNLP (Findings), 2023)

Pivot Pre-finetuning for Low Resource MT: A Case Study in Kikamba. - Stephen Ngumbi Kiilu; Machel Reid (Tiny Papers @ ICLR, 2023)

DiffusER: Diffusion via Edit-based Reconstruction. - Machel Reid; Vincent Josua Hellendoorn; Graham Neubig (ICLR, 2023)

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. - Akari Asai; Sneha Kudugunta; Xinyan Yu 001; Terra Blevins; Hila Gonen; Machel Reid; Yulia Tsvetkov; Sebastian Ruder; Hannaneh Hajishirzi (NAACL-HLT, 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; et al. (CoRR, 2024)