On the Spontaneous Emergence of Discrete and Compositional Signals. - Nur Geffen Lan; Emmanuel Chemla; Shane Steinert-Threlkeld (ACL, 2020)

Approaching explanatory adequacy in phonology using Minimum Description Length. - Ezer Rasin; Iddo Berger; Nur Geffen Lan; Itamar Shefi; Roni Katzir (J. Lang. Model., 2021)

Minimum Description Length Recurrent Neural Networks. - Nur Geffen Lan; Michal Geyer; Emmanuel Chemla; Roni Katzir (Trans. Assoc. Comput. Linguistics, 2022)

Benchmarking Neural Network Generalization for Grammar Induction. - Nur Geffen Lan; Emmanuel Chemla; Roni Katzir (CoRR, 2023)

Minimum Description Length Hopfield Networks. - Matan Abudy; Nur Geffen Lan; Emmanuel Chemla; Roni Katzir (CoRR, 2023)

Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length. - Nur Geffen Lan; Emmanuel Chemla; Roni Katzir (ACL (1), 2024)

Metric-Learning Encoding Models Identify Processing Profiles of Linguistic Features in BERT's Representations. - Louis Jalouzot; Robin Sobczyk; Bastien Lhopitallier; Jeanne Salle; Nur Geffen Lan; Emmanuel Chemla; Yair Lakretz (CoRR, 2024)

What Makes Two Language Models Think Alike? - Jeanne Salle; Louis Jalouzot; Nur Geffen Lan; Emmanuel Chemla; Yair Lakretz (CoRR, 2024)

Large Language Models as Proxies for Theories of Human Linguistic Cognition. - Imry Ziv; Nur Geffen Lan; Emmanuel Chemla; Roni Katzir (CoRR, 2025)

A Minimum Description Length Approach to Regularization in Neural Networks. - Matan Abudy; Orr Well; Emmanuel Chemla; Roni Katzir; Nur Geffen Lan (CoRR, 2025)