Items where Author, Editor or other role is "Sawicki, Piotr"
Jump to: Preprint | Conference or workshop item
Number of items: 7.
Preprint
| Goes, Fabricio and Zhou, Zisen and Sawicki, Piotr and Grześ, Marek and Brown, Dan (2022) Crowd score: a method for the evaluation of jokes using Large Language Model AI voters as judges. [Preprint] (doi:10.48550/arXiv.2212.11214) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:101553) |
Conference or workshop item
| Sawicki, Piotr, Grzes, Marek, Brown, Dan, Goes, Fabricio (2025) Can Large Language Models Outperform Non-Experts in Poetry Evaluation? A Comparative Study Using the Consensual Assessment Technique. In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. . pp. 31901-31918. Association for Computational Linguistics ISBN 979-8-89176-332-6. (doi:10.18653/v1/2025.emnlp-main.1625) (KAR id:112727) |
| Sawicki, Piotr, Grzes, Marek, Goes, Fabricio, Brown, Dan, Peeperkorn, Max, Khatun, Aisha (2023) Bits of grass: does GPT already know how to write like Whitman? In: Pease, Alison and Cunha, Joao Miguel and Ackerman, Maya and Brown, Daniel G., eds. Proceedings of the Fourteenth International Conference on Computational Creativity. . pp. 317-321. Association for Computational Creativity ISBN 978-989-54160-5-9. (KAR id:101550) |
| Goes, Fabricio, Sawicki, Piotr, Grześ, Marek, Brown, Dan, Volpe, Marco (2023) Is GPT-4 good enough to evaluate jokes? In: Pease, Alison and Cunha, Joao Miguel and Ackerman, Maya and Brown, Daniel G., eds. Proceedings of the Fourteenth International Conference on Computational Creativity. . pp. 367-371. Association for Computational Creativity, Waterloo, Canada ISBN 978-989-54160-5-9. (KAR id:101552) |
| Sawicki, Piotr, Grzes, Marek, Goes, Fabricio, Brown, Dan, Peeperkorn, Max, Khatun, Aisha, Paraskevopoulou, Simona (2023) On the power of special-purpose GPT models to create and evaluate new poetry in old styles. In: Pease, Alison and Cunha, Joao Miguel and Ackerman, Maya and Brown, Daniel G., eds. Proceedings of the Fourteenth International Conference on Computational Creativity. . pp. 10-19. Association for Computational Creativity ISBN 978-989-54160-5-9. (KAR id:101234) |
| Goes, Fabricio, Volpe, Marco, Sawicki, Piotr, Grześ, Marek, Watson, Jacob (2023) Pushing GPT’s creativity to Its limits: alternative uses and Torrance Tests. In: Pease, Alison and Cunha, Joao Miguel and Ackerman, Maya and Brown, Daniel G., eds. Proceedings of the Fourteenth International Conference on Computational Creativity. . pp. 342-346. Association for Computational Creativity ISBN 978-989-54160-5-9. (KAR id:101551) |
| Sawicki, Piotr, Grzes, Marek, Jordanous, Anna, Brown, Dan, Peeperkorn, Max (2022) Training GPT-2 to represent two Romantic-era authors: challenges, evaluations and pitfalls. In: 13th International Conference on Computational Creativity. . pp. 34-43. Association for Computational Creativity (ACC) ISBN 978-989-54160-4-2. (KAR id:94992) |

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