Millicent Li

Millicent Li

I'm a first-year PhD student at Northeastern University where I'm advised by Byron Wallace and work closely with David Bau. Though I'm still pinning down my exact research interests, broadly, I'm interested in the intersection of natural language processing and human-computer interaction, particularly in domains related to language modeling, intepretability, and the interaction between humans and AI tools. I'm honored to be supported by a (Northeastern) Khoury PhD Fellowship and an NSF GRFP.

Before my PhD, I spent a year as an AI Resident with Fundamental AI Research (FAIR) at Meta, working with Marjan Ghazvininejad and Mike Lewis and collaborating with Asli Celikyilmaz and Mona Diab on topics related to prompting and pretrained language modeling. I've also interned at Microsoft Research where I worked with Tristan Naumann on building biomedical NLP benchmarks.

In undergrad, I studied computer science at the University of Washington. There, I collaborated with both the DUB and UW NLP research groups, where I worked with Shwetak Patel on ubiquitous computing and Noah Smith on natural language processing, respectively.

Links: CV | Personal | Places | Photography

News

May 2023

Our paper, Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success), was accepted to ACL!

April 2022

I was awarded a 2022 NSF Graduate Research Fellowship. Northeastern wrote an article about it here.

August 2021

Started as an AI Resident with Fundamental AI Research (FAIR) at Meta in Seattle, working on natural language processing and human-computer interaction research for a year.

May 2021

Started my internship at Microsoft Research working with Tristan Naumann on the intersection of natural language processing and healthcare!

April 2021

Excited to announce that I’ll be starting my PhD in the Khoury College of Computer Sciences at Northeastern University in Boston, fall of 2022. Thanks to everyone who has supported me on this journey thus far!

March 2021

I was awarded an Honorable Mention for the 2021 NSF Graduate Research Fellowship competition.


Publications

2023

  1. Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success)
    Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain Marshall, Junyi Jessy Li, Byron C. Wallace
    Annual Meeting of the Association for Computational Linguistics (ACL), 2023

2022

  1. A Review on Language Models as Knowledge Bases
    Badr AlKhamissi*, Millicent Li*, Asli Celikyilmaz^, Mona Diab^, Marjan Ghazvininejad^
    arXiv
    * denotes equal contribution
    ^ denotes equal supervision

2020

  1. Multi-Channel Facial Photoplethysmography Sensing
    Parker S. Ruth, Jerry Cao, Millicent Li, Jacob E. Sunshine, Edward J. Wang, and Shwetak N. Patel
    International Conference of the IEEE Engineering in Medicine Biology Society (EMBC 2020)