| Informational goals, sentence structure, and comparison class inference MH Tessler, P Tsvilodub, J Snedeker, RP Levy Proceedings of the annual conference of the cognitive science society, 2020 | 6 | 2020 |
| Overinformative question answering by humans and machines P Tsvilodub, M Franke, RD Hawkins, ND Goodman arXiv preprint arXiv:2305.07151, 2023 | 5 | 2023 |
| Evaluating pragmatic abilities of image captioners on a3ds P Tsvilodub, M Franke arXiv preprint arXiv:2305.12777, 2023 | 3 | 2023 |
| The role of relevance, competence, and priors for scalar inferences P Tsvilodub, B van Tiel, M Franke Experiments in Linguistic Meaning 2, 288-298, 2023 | 3 | 2023 |
| Improving a Gamified Language Learning Chatbot Through AI and UX Boosting P Tsvilodub, E Chevalier, V Klütz, T Oberbeck, K Sigetova, F Wollatz The Learning Ideas Conference, 557-569, 2022 | 2 | 2022 |
| Modeling German Word Order Acquisition via Bayesian Inference AL Heuser, P Tsvilodub Society for Computation in Linguistics 4 (1), 2021 | 1 | 2021 |
| Predictions from language models for multiple-choice tasks are not robust under variation of scoring methods P Tsvilodub, H Wang, S Grosch, M Franke arXiv preprint arXiv:2403.00998, 2024 | | 2024 |
| Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract) A Heuser, P Tsvilodub Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15799 …, 2021 | | 2021 |
| Towards Neuro-Symbolic Models of Language Cognition: LLMs as Proposers and Evaluators P Tsvilodub, F Carcassi, M Franke | | |
| Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions P Tsvilodub, P Marty, S Ramotowska, J Romoli, M Franke | | |
