Lindia Tjuatja

Hi! I’m Lindia, a PhD student at CMU’s Language Technologies Institute advised by Graham Neubig. I am also am a frequent visitor at NYU with Tal Linzen.

My research largely centers around understanding how models of language learn structure in text (linguistic or otherwise), and how this may allow them to exhibit more complex behaviors. These interests manifest in work across evaluation and interpretability, often with a linguistics and cognitive science bend. I also work on NLP for understudied and endangered languages.

Before CMU, I did my undergrad at UT Austin, where I studied linguistics and computer engineering. During my time there, I worked extensively with John Beavers. I’ve also been fortunate enough to have great mentorship from many others, including the amazing computational linguistics faculty there. The summer before my senior year, I was an intern at CMU working with Shruti Rijhwani.

In my (precious) free time, I enjoy painting (oil and gouache are my mediums of choice), playing the viola, hanging out with my cat, running, and reading!

news

Sep 26, 2025	Took a walk down the street and gave a talk at the University of Pittsburgh’s Linguistics Colloquium on Linguistic Judgments of Language Models (slides can be found here).
Jul 30, 2025	Presented “BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models” at ACL in Vienna!
Jan 22, 2025	“What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length” has been accepted to NAACL 2025! See y’all in Albuquerque!
Nov 11, 2024	Presented two papers at EMNLP in Miami: “Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design” and “GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text”!
May 16, 2023	My first PhD paper was accepted to a conference! Keep an eye out for “Syntax and Semantics Meet in the Middle: Probing the Syntax-Semantics Interface of LMs Through Agentivity” at *SEM, co-located with ACL 2023 in Toronto.