Julie Kallini
/kΙ'lini/ β’ CS Ph.D. @ Stanford NLP β’ Previously: Meta, Princeton CS

I am a second-year Computer Science Ph.D. student at Stanford University, where I am a member of the Natural Language Processing Group. I am grateful to be advised by Chris Potts and Dan Jurafsky. My Ph.D. is generously supported by a National Science Foundation Graduate Research Fellowship, a Stanford School of Engineering Graduate Fellowship, and a Stanford EDGE Fellowship.
Previously, I worked for nearly two years as a software engineer at Meta, where I used machine learning and content understanding techniques for privacy problems in advertisements.
Before joining Meta, I graduated summa cum laude from Princeton University with a B.S.E. in Computer Science and a minor in Linguistics. I was fortunate to conduct NLP and computational linguistics research under the guidance of Christiane Fellbaum. My senior thesis, which explored the language phenomenon of coordination, won the Outstanding Senior Thesis Prize. I also received the Phillip Goldman β86 Senior Prize, the CS departmentβs top academic honor.
In my spare time, I teach Applied Machine Learning as an instructor for Uplimit. I also enjoy acrylic painting! π¨
News ποΈ
Oct 29, 2024 | Check out our new preprint, MrT5 πͺ See also the tweet and repo! |
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Aug 14, 2024 | Mission: Impossible won Best Paper Award at ACL 2024! π |
Jan 15, 2024 | Check out our new preprint! π₯ Mission: Impossible Language Models π₯ |
Dec 5, 2023 | I will be attending EMNLP 2023 in Singapore! βοΈ |
Jun 1, 2023 | I will be starting my Ph.D. at Stanford NLP! |
Dec 23, 2022 | Our paper on sense distinctions for light verbs has been accepted to GWC 2023! |
Sep 8, 2022 | I traveled to Brno in the Czech Republic to present my paper at TSD 2022. |
Sep 6, 2022 | I will be co-instructing the second run of Applied Machine Learning on CoRise. |
Aug 18, 2022 | Iβm joining Break Through Tech as an AI Mentor to help students from underrepresented backgrounds pursue careers in AI and ML. π§ |
Jun 15, 2022 | Our paper βComputational Approaches for Understanding Semantic Constraints on Two-termed Coordination Structuresβ has been accepted to TSD 2022! |
Mar 21, 2022 | Iβm joining CoRise as the TA for the Applied Machine Learning course! π |
Aug 25, 2021 | Our paper βA Corpus-based Syntactic Analysis of Two-termed Unlike Coordinationβ has been accepted to Findings of ACL 2021! |
May 24, 2021 | Graduated from Princeton University! π |
May 17, 2021 | Inducted into the Phi Beta Kappa honor society! ![]() |
Invited Talks π€
Nov 6, 2024 | Mission: Impossible Language Models. UCLA Coalas Lab. |
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Oct 24, 2024 | Mission: Impossible Language Models. USC ISI Natural Language Seminar. Video π₯ |
Oct 10, 2024 | Mission: Impossible Language Models. UChicago/TTIC Natural Language Processing Seminar. |
Sep 16, 2024 | Mission: Impossible Language Models. UT Austin Computational Linguistics Research Group. |
Apr 25, 2024 | Mission: Impossible Language Models. MIT Computational Psycholinguistics Lab. |
Apr 5, 2024 | Mission: Impossible Language Models. First Meeting of the Bay Area Language Processing Interest Group at Stanford University. Video π₯ |
Mar 5, 2024 | Mission: Impossible Language Models. NLP-GenAI Online Seminar at BoΔaziΓ§i University. Video π₯ |
Press/Media Coverage π
Mar 24, 2025 | Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini. The TWIML AI Podcast with Sam Charrington. |
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Jan 13, 2025 | Can AI Models Show Us How People Learn? Impossible Languages Point a Way. Quanta Magazine. |
Sep 2, 2024 | Mission: Impossible Language Models β Paper Explained. AI Coffee Break with Letitia. |