Nur Geffen Lan

According to our database, Nur Geffen Lan authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible.

Imry Ziv, Nur Geffen Lan, Emmanuel Chemla

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible.

Imry Ziv, Nur Geffen Lan, Emmanuel Chemla, Roni Katzir

CoRR, October, 2025

A Minimum Description Length Approach to Regularization in Neural Networks.

Matan Abudy, Orr Well, Emmanuel Chemla, Roni Katzir, Nur Geffen Lan

CoRR, May, 2025

Large Language Models as Proxies for Theories of Human Linguistic Cognition.

Imry Ziv, Nur Geffen Lan, Emmanuel Chemla, Roni Katzir

CoRR, February, 2025

2024

Simplicity-Based Language Modeling Using Artificial Neural Networks. (Modélisation du langage par réseau de neurones, approche par simplicité).

Nur Geffen Lan

PhD thesis, 2024

What Makes Two Language Models Think Alike?

Jeanne Salle, Louis Jalouzot, Nur Geffen Lan, Emmanuel Chemla, Yair Lakretz

CoRR, 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

Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length.

Nur Geffen Lan, Emmanuel Chemla, Roni Katzir

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Minimum Description Length Hopfield Networks.

Matan Abudy, Nur Geffen Lan, Emmanuel Chemla, Roni Katzir

CoRR, 2023

Benchmarking Neural Network Generalization for Grammar Induction.

Nur Geffen Lan, Emmanuel Chemla, Roni Katzir

CoRR, 2023

2022

Minimum Description Length Recurrent Neural Networks.

Nur Geffen Lan, Michal Geyer, Emmanuel Chemla, Roni Katzir

Trans. Assoc. Comput. Linguistics, 2022

2021

Approaching explanatory adequacy in phonology using Minimum Description Length.

Ezer Rasin, Iddo Berger, Nur Geffen Lan, Itamar Shefi, Roni Katzir

J. Lang. Model., 2021

2020

On the Spontaneous Emergence of Discrete and Compositional Signals.

Nur Geffen Lan, Emmanuel Chemla, Shane Steinert-Threlkeld

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020