Machel Reid

2.8k total citations
13 papers, 90 citations indexed

About

Machel Reid is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Machel Reid has authored 13 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Machel Reid's work include Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Speech Recognition and Synthesis (4 papers). Machel Reid is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (13 papers) and Speech Recognition and Synthesis (4 papers). Machel Reid collaborates with scholars based in Japan and United States. Machel Reid's co-authors include Victor W. Zhong, Graham Neubig, Edison Marrese-Taylor, Yutaka Matsuo, Yutaka Matsuo, Mikel Artetxe, Junjie Hu, Suchin Gururangan, Jonas Pfeiffer and Francesco Piccinno and has published in prestigious journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Machel Reid

13 papers receiving 83 citations

Peers

Countries citing papers authored by Machel Reid

Since Specialization

Citations

This map shows the geographic impact of Machel Reid's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Machel Reid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Machel Reid more than expected).

Fields of papers citing papers by Machel Reid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Machel Reid. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Machel Reid. The network helps show where Machel Reid may publish in the future.

Co-authorship network of co-authors of Machel Reid

This figure shows the co-authorship network connecting the top 25 collaborators of Machel Reid. A scholar is included among the top collaborators of Machel Reid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Machel Reid. Machel Reid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer 2024 ·Akari Asai, Sneha Kudugunta, (unknown), (unknown), Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi	3
2	mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations 2023 ·Jonas Pfeiffer, Francesco Piccinno, (unknown), Xinyi Wang, Machel Reid, Sebastian Ruder	4
3	On the Role of Parallel Data in Cross-lingual Transfer Learning 2023 ·Machel Reid, Mikel Artetxe	2
4	Learning to Model Editing Processes 2022 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Machel Reid, Graham Neubig	10
5	M2D2: A Massively Multi-Domain Language Modeling Dataset 2022 ·Machel Reid, Victor W. Zhong, Suchin Gururangan, Luke Zettlemoyer	5
6	PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Machel Reid, Mikel Artetxe	5
7	On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing 2022 ·(unknown), Machel Reid, (unknown), Yutaka Matsuo	7
8	Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining 2021 ·(unknown), Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo	10
9	Variational Inference for Learning Representations of Natural Language Edits 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo	1
10	AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Machel Reid, Junjie Hu, Graham Neubig, Yutaka Matsuo	7
11	Subformer: A Parameter Reduced Transformer 2021 ·Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo	1
12	LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer 2021 ·Machel Reid, Victor W. Zhong	27
13	VCDM: Leveraging Variational Bi-encoding and Deep Contextualized Word Representations for Improved Definition Modeling 2020 ·Machel Reid, Edison Marrese-Taylor, Yutaka Matsuo	8

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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