Zdeněk Kasner

office
N231
email
kasner@ufal.mff.cuni.cz
phone
+420 95155 2953
address
IMPAKT – „N“
V Holešovičkách 747/2
180 00 Praha 8
Czech Republic

Main Research Interests

  • Low-Resource Data-to-Text Generation
  • Evaluation of Natural Language Generation
  • Reasoning of Large Language Models

Projects

Curriculum Vitae

Teaching

Courses

Theses and projects

Active
  • MSc. - Danil Semin – Span Labeling with Decoder-Only Large Language Models
  • MSc. - Anna Sajdoková – Design and Evaluation of a Retrieval-Augmented Generation System for Czech
  • Research proj. - Filip Rechtorík – Generating Descriptions of Time Series Data
  • BSc. - Tymur Kotkov – Methods for Updating Knowledge in Code Generation Models
Defended
  • BSc. - Václav Hrouda – Automatizace generování popisů produktů pomocí neuronových jazykových modelů (2024)
  • BSc. - Katarina Bucková – Story Generation Using Dynamic Text Infilling (2023)
 

Selected Bibliography

Papers

  1. Zdeněk Kasner, Vilém Zouhar, Patrícia Schmidtová, Ivan Kartáč, Kristýna Onderková, Ondřej Plátek, Dimitra Gkatzia, Saad Mahamood, Ondřej Dušek, Simone Balloccu (2025): Large Language Models as Span Annotators (Electronic). In: ArXiv.org Computing Research Repository, ISSN 2331-8422 (url)
  2. Kristýna Onderková, Ondřej Plátek, Zdeněk Kasner, Ondřej Dušek (2025): FreshTab: Sourcing Fresh Data for Table-to-Text Generation Evaluation. In: Proceedings of the 18th International Natural Language Generation Conference, pp. 108-121, Association for Computational Linguistics, Kerrville, TX, USA, ISBN 979-8-89176-321-0 (url, bibtex)
  3. Jindřich Helcl, Zdeněk Kasner, Ondřej Dušek, Tomasz Limisiewicz, Dominik Macháček, Tomáš Musil, Jindřich Libovický (2024): Teaching LLMs at Charles University: Assignments and Activities. In: The Sixth Workshop on Teaching NLP: Proceedings of the Workshop, pp. 69-72, Association for Computational Linguistics, Kerrville, TX, USA, ISBN 979-8-89176-134-6 (url, local PDF, local PDF, bibtex)
  4. Zdeněk Kasner (2024): Data-to-Text Generation with Neural Language Models (PhD thesis). In: (url, bibtex)
  5. Zdeněk Kasner, Ondřej Dušek (2024): Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation. In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 12045-12072, Association for Computational Linguistics, Kerrville, TX, USA, ISBN 979-8-89176-094-3 (url, bibtex)
  6. Zdeněk Kasner, Ondřej Plátek, Patrícia Schmidtová, Simone Balloccu, Ondřej Dušek (2024): factgenie: A Framework for Span-based Evaluation of Generated Texts. In: Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations, pp. 13-15, Association for Computational Linguistics, Kerrville, TX, USA, ISBN 979-8-89176-123-0 (url, bibtex)
  7. Xing Han Lu, Zdeněk Kasner, Siva Reddy (2024): WebLINX: Real-World Website Navigation with Multi-Turn Dialogue. In: Proceedings of the 41st International Conference on Machine Learning, pp. 1-50, Proceedings of Machine Learning Research (PMLR), San Diego, USA, ISBN 9798331302238 (url, bibtex)
  8. Zdeněk Kasner, Ekaterina Garanina, Ondřej Plátek, Ondřej Dušek (2023): TabGenie: A Toolkit for Table-to-Text Generation. In: Proceedings of 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pp. 444-455, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-941643-00-6 (url, bibtex)
  9. Zdeněk Kasner, Ioannis Konstas, Ondřej Dušek (2023): Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models. In: Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pp. 2398-2415, Association for Computational Linguistics, Kerrville, TX, USA, ISBN 978-1-959429-44-9 (url, bibtex)
  10. Rudali Huidrom, Ondřej Dušek, Zdeněk Kasner, Thiago Castro Ferreira, Anya Belz (2022): Two Reproductions of a Human-Assessed Comparative Evaluation of a Semantic Error Detection System. In: Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges, pp. 52-61, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-955917-60-5 (url, local PDF, bibtex)
  11. Zdeněk Kasner, Ondřej Dušek (2022): Neural Pipeline for Zero-Shot Data-to-Text Generation. In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: ACL 2022, pp. 3914-3932, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-955917-21-6 (url, bibtex)
  12. Sourabrata Mukherjee, Zdeněk Kasner, Ondřej Dušek (2022): Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising. In: 25th International Conference on Text, Speech and Dialogue, pp. 172-186, Springer, Cham, Switzerland, ISBN 978-3-031-16269-5 (url, bibtex)
  13. Zdeněk Kasner, Simon Mille, Ondřej Dušek (2021): Text-in-Context: Token-Level Error Detection for Table-to-Text Generation. In: Proceedings of the 14th International Conference on Natural Language Generation (INLG 2021), pp. 259-265, Association for Computational Linguistics, Stroudsburgh, PA, USA, ISBN 978-1-954085-51-0 (pdf, bibtex)
  14. Ondřej Dušek, Zdeněk Kasner (2020): Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), pp. 131-137, Association for Computational Linguistics, Stroudsburgh, PA, USA, ISBN 978-1-952148-54-5 (url, bibtex)
  15. Zdeněk Kasner, Ondřej Dušek (2020): Train Hard, Finetune Easy: Multilingual Denoising for RDF-to-Text Generation. In: Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+), pp. 171-176, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-952148-59-0 (url, bibtex)
  16. Zdeněk Kasner, Ondřej Dušek (2020): Data-to-Text Generation with Iterative Text Editing. In: Proceedings of the 13th International Conference on Natural Language Generation (INLG 2020), pp. 60-67, Association for Computational Linguistics, Stroudsburgh, PA, USA, ISBN 978-1-952148-54-5 (url, bibtex)
  17. Jindřich Libovický, Zdeněk Kasner, Jindřich Helcl, Ondřej Dušek (2020): Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task. In: Proceedings of the Fourth Workshop on Neural Generation and Translation, pp. 153-160, Association for Computational Linguistics, Stroudsburg, PA, USA, ISBN 978-1-952148-17-0 (url, local PDF, bibtex)

(the list is exported automatically from Biblio)

Theses