I’m a research scientist at Google DeepMind working on NLP research, with a focus on multilingual NLP. Recently, I’ve been working a lot with LLMs and instruction tuning, developing recipes to boost multilingual capabilities in LLMs.
I was previously a visiting student at Carnegie Mellon University, advised by Graham Neubig and researcher at the University of Tokyo at Matsuo Lab with Yutaka Matsuo (where I still collaborate).
I am currently working on multilingual NLP (Reid and Artetxe, 2022), low-resource NLP (Reid et al., 2021), edit models (Marrese-Taylor et al., 2021, Reid and Zhong, 2021, Reid and Neubig, 2022) as well as other topics as well! Feel free to reach out via email or Twitter!
On the Role of Parallel Data in Cross-lingual Transfer Learning has been accepted to the findings of ACL 2023! Hope to see you in Toronto!
DiffusER accepted at ICLR 2023! See you in Kigali!
Excited to be joining Google and UW!
Thrilled to have 2 papers accepted to NAACL 2022! – April 2022
Gave invited talks at both Masakhane and Google on AfroMT paper – October 2021
Gave an invited talk (slides) at the Facebook NLP Summit on our PARADISE paper – October 2021
In our paper “Combining Pretrained High Resource Embeddings And Subword Representations For Low Resource Languages” (Accepted to the ICLR 2020 AfricaNLP Work...