Jesse Dodge

Jesse Dodge

PhD, Carnegie Mellon University
Google Scholar
Semantic Scholar

I am a research scientist at the Allen Institute for AI on the AllenNLP team. I'm interested in efficiency and reproducibility in natural language processing and machine learning. My work has been featured in the New York Times, Wired, and Slate, among others (see below).

I created the NLP Reproducibility Checklist that has been filled out by all submissions to EMNLP 2020, NAACL 2021, ACL 2021, and EMNLP 2021, totaling more than 10,000 submissions. You can read more in our guest post on the EMNLP blog.
I helped create the Responsible NLP Checklist, which combines reproducibility and ethics items, that will be filled out by all submissions to ACL Rolling Review.
I have been an organizer for the ML Reproducibility Challenge in 2020 and 2021, for which I wrote a blog post describing how to use the challenge as a course project.
I've organized a number of workshops, including ML Retrospectives at ICML 2020, ML-Retrospectives, Surveys & Meta-Analyses at NeurIPS 2020, SMILES (Setting up MachIne Learning Evaluation Standards to accelerate progress) at ICLR 2022, and a tutorial on Reproducibility at ACL 2022.
I've been area chair for various tracks at different conferences, including the Green NLP track at EACL 2021, the Resources and Evaluation track at ACL-IJCNLP 2021, and the Green NLP track at NAACL 2021. I was senior area chair for the Efficient Methods for NLP track at EMNLP 2021.
I am a Reproducibility Chair at NAACL 2022.

I earned my PhD in Spring 2020 from the LTI at CMU, though I spent much of my PhD as a visiting student at UW CSE in Seattle. My PhD advisor was Noah Smith. As an undergrad I worked with Luke Zettlemoyer. In 2011 I participated in the JSALT workshop, where I worked with a host of fantastic people on the vision and language team (and got a great sweatshirt). I was a research intern for six months in 2015 at Facebook AI Research in NYC with Jason Weston and Antoine Bordes, where I built the Movie Dialog dataset and the MovieQA dataset. In the summer of 2018 I interned at Google AI with Elad Eban, where I worked with the MorphNet team (I got a shoutout in their blog post). I worked at the Allen Institute for AI for all of 2019 on the AllenNLP team.