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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.

4 papers in our library · 2023–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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…
  3. 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».
  4. 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

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. 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
  2. Integrating Neural and Symbolic Components in a Model of Pragmatic Question-AnsweringPolina Tsvilodub, Robert D. Hawkins, Michael FrankeEnglish · 1 citation
  3. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
  4. 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

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

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