Machel Reid
Publications by Year
Research Areas
Natural Language Processing Techniques, Topic Modeling, Multimodal Machine Learning Applications, Text Readability and Simplification, Speech Recognition and Synthesis
Most-Cited Works
- → Large Language Models are Zero-Shot Reasoners(2022)1,100 cited
- → Gemma: Open Models Based on Gemini Research and Technology(2024)220 cited
- → A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation(2022)45 cited
- → LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer(2021)44 cited
- → Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers(2021)26 cited
- → Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining(2021)18 cited
- → Learning to Model Editing Processes(2022)15 cited
- → VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling(2020)14 cited
- → On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing(2022)14 cited
- → AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages(2021)12 cited