Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models. - Isabel Papadimitriou; Dan Jurafsky (EMNLP (1), 2020)

Pretraining on Non-linguistic Structure as a Tool for Analyzing Learning Bias in Language Models. - Isabel Papadimitriou; Dan Jurafsky (CoRR, 2020)

Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT. - Isabel Papadimitriou; Ethan A. Chi; Richard Futrell; Kyle Mahowald (EACL, 2021)

When classifying grammatical role, BERT doesn't care about word order... except when it matters. - Isabel Papadimitriou; Richard Futrell; Kyle Mahowald (ACL (2), 2022)

Oolong: Investigating What Makes Crosslingual Transfer Hard with Controlled Studies. - Zhengxuan Wu; Isabel Papadimitriou; Alex Tamkin (CoRR, 2022)

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets. - Julia Kreutzer; Isaac Caswell; Lisa Wang; Ahsan Wahab; Daan van Esch; Nasanbayar Ulzii-Orshikh; Allahsera Tapo; Nishant Subramani; Artem Sokolov; Claytone Sikasote; Monang Setyawan; Supheakmungkol Sarin; et al. (Trans. Assoc. Comput. Linguistics, 2022)

Multilingual BERT has an accent: Evaluating English influences on fluency in multilingual models. - Isabel Papadimitriou; Kezia Lopez; Dan Jurafsky (EACL (Findings), 2023)

Injecting structural hints: Using language models to study inductive biases in language learning. - Isabel Papadimitriou; Dan Jurafsky (EMNLP (Findings), 2023)

Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies. - Zhengxuan Wu; Alex Tamkin; Isabel Papadimitriou (EMNLP, 2023)

Pretrain on just structure: Understanding linguistic inductive biases using transfer learning. - Isabel Papadimitriou; Dan Jurafsky (CoRR, 2023)

Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text. - Isaac Caswell; Lisa Wang; Isabel Papadimitriou (CoRR, 2023)

Mission: Impossible Language Models. - Julie Kallini; Isabel Papadimitriou; Richard Futrell; Kyle Mahowald; Christopher Potts (ACL (1), 2024)

Using Shapley interactions to understand how models use structure. - Divyansh Singhvi; Diganta Misra; Andrej Erkelens; Raghav Jain; Isabel Papadimitriou; Naomi Saphra (ACL (1), 2025)

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models. - Thomas Fel; Ekdeep Singh Lubana; Jacob S. Prince; Matthew Kowal; Victor Boutin; Isabel Papadimitriou; Binxu Wang; Martin Wattenberg; Demba E. Ba; Talia Konkle (CoRR, 2025)

Interpreting the Linear Structure of Vision-language Model Embedding Spaces. - Isabel Papadimitriou; Huangyuan Su; Thomas Fel; Naomi Saphra; Sham M. Kakade; Stephanie Gil (CoRR, 2025)

Investigating the interaction of linguistic and mathematical reasoning in language models using multilingual number puzzles. - Antara Raaghavi Bhattacharya; Isabel Papadimitriou; Kathryn Davidson; David Alvarez-Melis (CoRR, 2025)