| 2026 | EACL | Teaching Small Language Models to Learn Logic through Meta-Learning. | Leonardo Bertolazzi, Manuel Vargas Guzmn, Raffaella Bernardi, Maciej Malicki, Jakub Szymanik |
| 2026 | KR | Hybrid Models for Natural Language Reasoning: The Case of Syllogistic Logic. | Manuel Vargas Guzmn, Jakub Szymanik, Maciej Malicki |
| 2024 | CogSci | Comparing the Threshold and Prototype Model for Gradable Adjectives. | Tamar Johnson, Alexandra Sarafoglou, Julia M. Haaf, Ingmar Visser, Jakub Szymanik |
| 2024 | NAACL | Testing the limits of logical reasoning in neural and hybrid models. | Manuel Vargas Guzmn, Jakub Szymanik, Maciej Malicki |
| 2023 | CogSci | Time-pressure Does Not Alter the Bias Towards Canonical Interpretation of Quantifiers. | Ruben Potthoff, Sonia Ramotowska, Jakub Szymanik, Leendert van Maanen |
| 2022 | CogSci | Reverse-engineering the language of thought: a new approach. | Milica Denic, Jakub Szymanik |
| 2022 | LREC | HerBERT Based Language Model Detects Quantifiers and Their Semantic Properties in Polish. | Marcin Wolinski, Bartlomiej Niton, Witold Kieras, Jakub Szymanik |
| 2021 | ACL | Language Models Use Monotonicity to Assess NPI Licensing. | Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld |
| 2021 | CogSci | The Shape of Modified Numerals. | Fausto Carcassi, Jakub Szymanik |
| 2021 | CogSci | Quantifiers satisfying semantic universals are simpler. | Iris van de Pol, Paul Lodder, Leendert van Maanen, Shane Steinert-Threlkeld, Jakub Szymanik |
| 2020 | CogSci | Complexity/informativeness trade-off in the domain of indefinite pronouns. | Milica Denic, Shane Steinert-Threlkeld, Jakub Szymanik |
| 2020 | CogSci | Representational complexity and pragmatics cause the monotonicity effect. | Fabian Schlotterbeck, Sonia Ramotowska, Leendert van Maanen, Jakub Szymanik |
| 2019 | CogSci | The emergence of monotone quantifiers via iterated learning. | Fausto Carcassi, Shane Steinert-Threlkeld, Jakub Szymanik |
| 2019 | CogSci | Complexity and learnability in the explanation of semantic universals of quantifiers. | Iris van de Pol, Shane Steinert-Threlkeld, Jakub Szymanik |
| 2018 | ACL | Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers. | Sandro Pezzelle, Shane Steinert-Threlkeld, Raffaella Bernardi, Jakub Szymanik |
| 2018 | CogSci | Monotonicity and the Complexity of Reasoning with Quantifiers. | Jonathan Sippel, Jakub Szymanik |
| 2018 | CogSci | Predicting Cognitive Difficulty of the Deductive Mastermind Game with Dynamic Epistemic Logic Models. | Bonan Zhao, Iris van de Pol, Maartje E. J. Raijmakers, Jakub Szymanik |
| 2015 | CogSci | A non-monotonic extension of universal moral grammar theory. | Gert-Jan Munneke, Jakub Szymanik |
| 2015 | WoLLIC | A Dichotomy Result for Ramsey Quantifiers. | Ronald de Haan, Jakub Szymanik |
| 2014 | CogSci | Computational and algorithmic models of strategies in turn-based games. | Gerben Bergwerff, Ben Meijering, Jakub Szymanik, Rineke Verbrugge, Stefan M. Wierda |
| 2014 | CogSci | Probabilistic semantic automata in the verification of quantified statements. | Jakub Dotlacil, Jakub Szymanik, Marcin Zajenkowski |
| 2013 | CogSci | Using intrinsic complexity of turn-taking games to predict participants' reaction times. | Jakub Szymanik, Ben Meijering, Rineke Verbrugge |
| 2012 | LREC | Pragmatic identification of the witness sets. | Livio Robaldo, Jakub Szymanik |
| 2011 | TARK | A note on a generalization of the Muddy Children puzzle. | Nina Gierasimczuk, Jakub Szymanik |
| 2011 | WoLLIC | Characterizing Definability of Second-Order Generalized Quantifiers. | Juha Kontinen, Jakub Szymanik |