❀ LiLaC Lab ❀


This is the homepage of the Learning in Language and Computation (LiLaC) lab at the Khoury College of Computer Sciences, Northeastern University. We study how language models learn and represent language, with a focus on multilingual NLP and the intersection of NLP and computational linguistics. Our goal is to use analysis insights to build NLP systems that work better and more equitably across the world's languages.


Lab Members



Terra Blevins
Asst. Professor
Sanchit Ahuja
Ph.D. Student
Eugene Jang
Ph.D. Student

Publications


Universal NER v2: Towards a Massively Multilingual Named Entity Recognition Benchmark
Terra Blevins, Stephen Mayhew, Marek Suppa, Hila Gonen, Shachar Mirkin, Vasile Pais, Kaja Dobrovoljc, Voula Giouli, Jun Kevin, Enes Yılandiloğlu, Eugene Jang, Eungseo Kim, Jeongyeon Seo, Xenophon Gialis, and Yuval Pinter. To Appear in the 2026 International Conference on Language Resources and Evaluation (LREC), 2026.
[paper]
Do language models accommodate their users? A study of linguistic convergence
Terra Blevins, Susanne Schmalwieser, and Benjamin Roth.
In The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2026.
[paper]

Joining the LiLaC Lab


The main research themes in the LiLaC Lab are multilingual NLP, analysis of NLP systems, and NLP ∩ computational linguistics. I am looking for students who are broadly interested in these areas of research.

If you are interested in joining my lab: