Kelly Marchisio

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kmarc@jhu.edu

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Welcome!

I am a Member of Technical Staff at Cohere (https://cohere.ai/) specializing in multilingual natural language processing. I started the multilingual NLP group at Cohere in June 2023. Our work resulted in Cohere’s first public launch of a multilingual model in March 2024 (Command-R).

Previously, I completed my PhD in Computer Science at the Center for Language and Speech Processing at Johns Hopkins University, where I was advised by Dr. Philipp Koehn. My research focuses on unsupervised and semi-supervised machine translation, bilingual lexicon induction, multilingual representation learning, and efficient natural language processing. During my time at JHU, I interned with Meta AI London (FAIR Labs, Summer 2022, Advisor: Mikel Artetxe) and Google Translate (Summer 2020).

Prior to JHU, I completed an MPhil in Advanced Computer Science at Christ’s College, University of Cambridge. My thesis advisor was Helen Yannakoudakis. I was employed at Google, Inc. in Mountain View, CA from 2013-2017 where I was a Web Solutions Engineer (2015-2017) and Support Specialist for gTech Ads, where I led automation efforts for North America (2013-2015). Previously, I completed an Ed.M. in Mind, Brain, and Education at Harvard University, and a B.A. in Psychology/Sociology and French (minor) at Franklin & Marshall College in Lancaster, PA.


News

March 2024: Our work since June contributed to the launch of Command-R, Cohere’s first public multilingual model!

December 2023: Presented at NeurIPS 2023 in New Orleans:

   Improving Language Plasticity via Pretraining with Active Forgetting
    Yihong Chen, Kelly Marchisio, et al. 2023

July 2023: Presented at ACL 2023 in Toronto:

   Mini-Model Adaptation: Efficiently Extending Pretrained Models
     to New Languages via Aligned Shallow Training
(Findings)
    Kelly Marchisio, Patrick Lewis, Yihong Chen, Mikel Artetxe

12 June 2023: I had my first day as Member of Technical Staff at Cohere!

7 June 2023: My PhD defense will be held at Johns Hopkins University at 2pm ET (UTC-4:00). Please email me if you’d like a Zoom link! UPDATE: I successfully defended! Title: “Multilinguality from Static Embedding Spaces: Algorithmic, Geometric, and Data Considerations”

Feb 2023: Talks at George Mason University (8 Feb) and the Artificial Intelligence Society at Johns Hopkins (22 Feb)

December 2022: Two papers to-appear at EMNLP in Abu Dhabi:

   IsoVec: Controlling the Relative Isomorphism of
     Word Embedding Spaces

   Kelly Marchisio, Neha Verma, Kevin Duh, Philipp Koehn

   Bilingual Lexicon Induction for Low-Resource Languages using
     Graph Matching via Optimal Transport

   Kelly Marchisio, Ali Saad-Eldin, Kevin Duh, Carey Priebe, Philipp Koehn

October 2022: I am honored to have been named an Amazon Fellow! https://twitter.com/AmazonScience/status/1577765575207460865

Summer 2022: I will be interning at FAIR in London, UK with Mikel Artetxe.


More about me

In my non-CS life, I’m a classically-trained soprano and was a Choral Scholar at Christ’s College, Cambridge. I’ve had fun singing acappella through the years – with Google MTV’s Googapella (2014-2017), the Common Chords at the Harvard Graduate School of Education, and Sweet Ophelia at Franklin & Marshall College.

Apart from singing, I enjoy vegetable gardening – and if “trying new foods” can be considered a hobby, then it’s certainly one of favorites!