Polina Tsvilodub
Polina Tsvilodub has 4 papers in our library, in 2023–2026, most of them on Implicature, Language models & pretraining, Question answering; often with Michael Franke, Fausto Carcassi, Jacopo Romoli.
OpenAlex · h-index 3 · 45 works · 17 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 9 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9876
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 workPhilosophy · 1 work
🧭 Topics 6Research subjects and languages the work is about.Evaluation & benchmarks · 1 workImplicature · 1 workLanguage models & pretraining · 1 workEnglish · 1 workQuestion answering · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Evaluating pragmatic abilities of image captioners on A3DS (2023 · 6 citations)
Standard caption metrics such as BLEU, ROUGE, CIDEr and METEOR compare surface strings. They cannot tell whether a caption does its communicative job, for example picking out a target image among distractors without saying too much. To support that kind of check, the authors built A3DS (Annotated 3D Shapes). It adds… - Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions (2024 · 3 citations)
The paper asks whether large language models can add evidence to an open debate in pragmatics. The debate concerns the inferences triggered by "or": ignorance (II), distributive (DI) and free choice (FC). Are these ordinary scalar implicatures (SI)? And do their POSSIBILITY and DISTRIBUTIVE parts depend on first… - Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering (2025 · 1 citation)
The case is over-informative answering: asked «Do you have iced tea?» in a café that has iced coffee, soda and Chardonnay, people answer «No, but we have iced coffee». - Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives (2026)
Pragmatic models need to know which alternatives a speaker or listener weighs: other phrasings the speaker could have used, or other readings the listener might consider.
All works
- Evaluating pragmatic abilities of image captioners on A3DSAnnual Meeting of the Association for Computational Linguistics (ACL)Polina Tsvilodub, Michael Franke2023 · 6 citations
- Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded DisjunctionsarXiv:2405.05776Polina Tsvilodub, Paul Marty, Sonia Ramotowska, et al.2024 · 3 citations
- Integrating Neural and Symbolic Components in a Model of Pragmatic Question-AnsweringPolina Tsvilodub, Robert D. Hawkins, Michael FrankeEnglish · 1 citation
- Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
- Modeling German Word Order Acquisition via Bayesian Inference ↗Proceedings of the Society for Computation in Linguistics 2021 · no summary yetAnnika Heuser, Polina Tsvilodub2021
Co-authors here
Venues
- Society for Computation in Linguistics (SCiL) ×2: SCiL 2025
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2023
Cited by
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