| Learnability and Semantic Universals S Steinert-Threlkeld, J Szymanik Semantics & Pragmatics, 2019 | 80 | 2019 |
| Ease of Learning Explains Semantic Universals S Steinert-Threlkeld, J Szymanik Cognition, 2020 | 61 | 2020 |
| Towards the Emergence of Non-trivial Compositionality S Steinert-Threlkeld Philosophy of Science, 2019 | 45 | 2019 |
| Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets C Li, L Shengshuo, LZ Liu, X Wu, X Zhou, S Steinert-Threlkeld BlackboxNLP, 2020 | 43 | 2020 |
| Language Models Use Monotonicity to Assess NPI Licensing J Jumelet, M Denić, J Szymanik, D Hupkes, S Steinert-Threlkeld Findings of ACL, 2021 | 40 | 2021 |
| Semantic Expressivism for Epistemic Modals P Hawke, S Steinert-Threlkeld Linguistics and Philosophy, 2020 | 40 | 2020 |
| Compositional Signaling in a Complex World S Steinert-Threlkeld Journal of Logic, Language and Information 25 (3), 379-397, 2016 | 39 | 2016 |
| Quantifiers in Natural Language: Efficient Communication and Degrees of Semantic Universals S Steinert-Threlkeld Entropy 23 (10), 1335, 2021 | 38 | 2021 |
| Quantifiers in natural language optimize the simplicity/informativeness trade-off S Steinert-Threlkeld 22nd Amsterdam Colloquium, 2019 | 33 | 2019 |
| Complexity/informativeness trade-off in the domain of indefinite pronouns M Denić, S Steinert-Threlkeld, J Szymanik Semantics and Linguistic Theory (SALT), 2020 | 32 | 2020 |
| Informational dynamics of epistemic possibility modals P Hawke, S Steinert-Threlkeld Synthese, 1-34, 2016 | 30 | 2016 |
| Indefinite Pronouns Optimize the Simplicity/Informativeness Trade‐Off M Denić, S Steinert‐Threlkeld, J Szymanik Cognitive Science 46 (5), e13142, 2022 | 29 | 2022 |
| An Explanation of the Veridical Uniformity Universal S Steinert-Threlkeld Journal of Semantics, 2019 | 27 | 2019 |
| Filtered corpus training (fict) shows that language models can generalize from indirect evidence A Patil, J Jumelet, YY Chiu, A Lapastora, P Shen, L Wang, C Willrich, ... Transactions of the Association for Computational Linguistics 12, 1597-1615, 2024 | 24 | 2024 |
| Iterating semantic automata S Steinert-Threlkeld, TF Icard III Linguistics and Philosophy 36 (2), 151-173, 2013 | 23 | 2013 |
| Embedding structure matters: Comparing methods to adapt multilingual vocabularies to new languages CM Downey, T Blevins, N Goldfine, S Steinert-Threlkeld arXiv preprint arXiv:2309.04679, 2023 | 19 | 2023 |
| Monotone Quantifiers Emerge via Iterated Learning F Carcassi, S Steinert-Threlkeld, J Szymanik Cognitive Science, 2021 | 19 | 2021 |
| Emergent Communication Fine-tuning (EC-FT) for Pretrained Language Models S Steinert-Threlkeld, X Zhou, Z Liu, CM Downey Emergent Communication Workshop at ICLR 2022, 2022 | 16 | 2022 |
| A masked segmental language model for unsupervised natural language segmentation CM Downey, F Xia, GA Levow, S Steinert-Threlkeld Proceedings of the 19th SIGMORPHON Workshop on Computational Research in …, 2022 | 14 | 2022 |
| Uncovering the Structure of Semantic Representations Using a Computational Model of Decision‐Making S Ramotowska, S Steinert‐Threlkeld, L van Maanen, J Szymanik Cognitive Science 47 (1), e13234, 2023 | 13 | 2023 |
Jakub SzymanikCenter for Mind and Brain Sciences, University of TrentoVerified email at unitn.it
