| Theoretical limitations of self-attention in neural sequence models M Hahn Transactions of the Association for Computational Linguistics 8, 156-171, 2020 | 159 | 2020 |
| Universals of word order reflect optimization of grammars for efficient communication M Hahn, D Jurafsky, R Futrell Proceedings of the National Academy of Sciences 117 (5), 2347-2353, 2020 | 84 | 2020 |
| Modeling human reading with neural attention M Hahn, F Keller arXiv preprint arXiv:1608.05604, 2016 | 65 | 2016 |
| An Information-Theoretic Explanation of Adjective Ordering Preferences. M Hahn, J Degen, ND Goodman, D Jurafsky, R Futrell CogSci, 2018 | 51 | 2018 |
| CoMeT: Integrating different levels of linguistic modeling for meaning assessment N Ott, R Ziai, M Hahn, D Meurers Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 43 | 2013 |
| Evaluating the meaning of answers to reading comprehension questions: A semantics-based approach M Hahn, D Meurers Proceedings of the Seventh Workshop on Building Educational Applications …, 2012 | 43 | 2012 |
| RNNs can generate bounded hierarchical languages with optimal memory J Hewitt, M Hahn, S Ganguli, P Liang, CD Manning arXiv preprint arXiv:2010.07515, 2020 | 32 | 2020 |
| Modeling word and morpheme order in natural language as an efficient trade-off of memory and surprisal. M Hahn, J Degen, R Futrell Psychological Review 128 (4), 726, 2021 | 28 | 2021 |
| Tabula Nearly Rasa: Probing the Linguistic Knowledge of Character-level Neural Language Models Trained on Unsegmented Text M Hahn, M Baroni Transactions of the Association for Computational Linguistics 7, 467-484, 2019 | 25 | 2019 |
| A resource-rational model of human processing of recursive linguistic structure M Hahn, R Futrell, R Levy, E Gibson Proceedings of the National Academy of Sciences 119 (43), e2122602119, 2022 | 23 | 2022 |
| A theory of emergent in-context learning as implicit structure induction M Hahn, N Goyal arXiv preprint arXiv:2303.07971, 2023 | 18 | 2023 |
| Modeling task effects in human reading with neural attention M Hahn, F Keller arXiv preprint arXiv:1808.00054, 2018 | 17* | 2018 |
| Estimating Predictive Rate–Distortion Curves via Neural Variational Inference M Hahn, R Futrell Entropy 21 (7), 640, 2019 | 13 | 2019 |
| Sensitivity as a complexity measure for sequence classification tasks M Hahn, D Jurafsky, R Futrell Transactions of the Association for Computational Linguistics 9, 891-908, 2021 | 10 | 2021 |
| Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality M Hahn, Y Xu Proceedings of the National Academy of Sciences 119 (24), e2122604119, 2022 | 9 | 2022 |
| Word order variation in Khoekhoe M Hahn Proceedings of the 20th International Conference on Head-Driven Phrase …, 2013 | 9 | 2013 |
| Visibly Counter Languages and the Structure of M Hahn, A Krebs, KJ Lange, M Ludwig International Symposium on Mathematical Foundations of Computer Science, 384-394, 2015 | 8 | 2015 |
| An information-theoretic characterization of morphological fusion N Rathi, M Hahn, R Futrell An Information-Theoretic Characterization of Morphological Fusion, 2021 | 6 | 2021 |
| Character-based surprisal as a model of human reading in the presence of errors M Hahn, F Keller, Y Bisk, Y Belinkov Proceedings of the 41st Annual Meeting of the Cognitive Science Society (CogSci), 2019 | 6* | 2019 |
| Information theory as a bridge between language function and language form R Futrell, M Hahn Frontiers in Communication 7, 657725, 2022 | 5 | 2022 |
