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Nur Lan

Large Language Models and the Argument from the Poverty of the Stimulus
2024 · Nur Lan, Emmanuel Chemla, et al. · Linguistic Inquiry · 13
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Minimum Description Length Recurrent Neural Networks
2022 · Nur Lan, Michal Geyer, et al. · Transactions of the Association for Computational Linguistics · 11
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Approaching explanatory adequacy in phonology using Minimum Description Length
2021 · Ezer Rasin, Iddo Berger, et al. · Journal of Language Modelling · 8
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A note on the representation and learning of quantificational determiners
2020 · Katzir, Roni, Lan, Nur, et al. · Proceedings of Sinn und Bedeutung · 6
On the Spontaneous Emergence of Discrete and Compositional Signals
2020 · Nur Geffen Lan, Emmanuel Chemla, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 4
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Ancestral iconicity: the dance language of bees revisited
2026 · Philippe Schlenker, Jonathan Lamberton, et al. · Biological reviews/Biological reviews of the Cambridge Philosophical Society · 2
Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length
2024 · Nur Lan, Emmanuel Chemla, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
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Simultaneous learning of vowel harmony and segmentation
2019 · Rasin, Ezer, Lan, Nur, et al. · ScholarWorks@UMassAmherst (University of Massachusetts Amherst) · 2
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Large language models as proxies for theories of human linguistic cognition
2026 · Imry Ziv, Nur Lan, et al. · Journal of Language Modelling · 1
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Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible
2026 · Association for Computational Linguistics 2026, Chemla, Emmanuel, et al. · Underline Science Inc.
Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible
2026 · Imry Ziv, Nur Lan, et al. · Conference of the European Chapter of the Association for Computational Linguistics
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A Minimum Description Length Approach to Regularization in Neural Networks
2025 · Abudy, Matan, Well, Orr, et al. · arXiv (Cornell University)
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Minimum Description Length Hopfield Networks
2023 · Abudy, Matan, Lan, Nur, et al. · arXiv (Cornell University)
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Benchmarking Neural Network Generalization for Grammar Induction
2023 · Lan, Nur, Chemla, Emmanuel, et al. · arXiv (Cornell University)
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Works count: 15
Citation count: 49
H-index: 4
I10-index: 2
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