Machel Reid

According to our database1, Machel Reid authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
CoRR, 2024

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023
DiffusER: Diffusion via Edit-based Reconstruction.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pivot Pre-finetuning for Low Resource MT: A Case Study in Kikamba.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Role of Parallel Data in Cross-lingual Transfer Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
DiffusER: Discrete Diffusion via Edit-based Reconstruction.
CoRR, 2022

Can Wikipedia Help Offline Reinforcement Learning?
CoRR, 2022

Large Language Models are Zero-Shot Reasoners.
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.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Model Editing Processes.
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.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Variational Inference for Learning Representations of Natural Language Edits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Combining Pretrained High-Resource Embeddings and Subword Representations for Low-Resource Languages.
Proceedings of the 1st AfricaNLP Workshop Proceedings, 2020

VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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