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ŠTEFÁNIK, Michal; Timothee MICKUS; Michal SPIEGEL; Marek KADLČÍK a Josef KUCHAŘ. Can Out-of-Distribution Evaluations Uncover Reliance on Shortcuts? A Case Study in Question Answering. Online. In Findings of the Association for Computational Linguistics: EMNLP 2025. Suzhou, China: Association for Computational Linguistics, 2025, s. 22628-22635. ISBN 979-8-89176-335-7.Podrobněji: https://is.muni.cz/publication/2534469/cs
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KADLČÍK, Marek; Michal ŠTEFÁNIK; Timothee MICKUS; Michal SPIEGEL a Josef KUCHAŘ. Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers. Online. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Suzhou, China: Association for Computational Linguistics, 2025, s. 26693-26702. ISBN 979-8-89176-332-6.Podrobněji: https://is.muni.cz/publication/2534464/cs
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VRABCOVÁ, Tereza; Marek KADLČÍK; Petr SOJKA; Michal ŠTEFÁNIK a Michal SPIEGEL. Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis. Online. In Christodoulopoulos, Christos and Chakraborty, Tanmoy and Rose, Carolyn and Peng, Violet. Findings of the Association for Computational Linguistics: EMNLP 2025. Suzhou, China: Association for Computational Linguistics, 2025, s. 25537-25551. ISBN 979-8-89176-335-7. Dostupné z: https://doi.org/10.18653/v1/2025.findings-emnlp.1391.Podrobněji: https://is.muni.cz/publication/2530697/cs
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VRABCOVÁ, Tereza; Marek KADLČÍK; Petr SOJKA; Michal ŠTEFÁNIK a Michal SPIEGEL. Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis. Online. Suzhou, China: Findings of the ACL, 2025, s. 25537–25551.Podrobněji: https://is.muni.cz/publication/2514066/cs
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SPIEGEL, Michal a Macko DOMINIK. IMGTB: A Framework for Machine-Generated Text Detection Benchmarking. Online. In Yixin Cao, Yang Feng, Deyi Xiong. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). Neuveden: Association for Computational Linguistics, 2024, s. 172-179. ISBN 979-8-89176-096-7. Dostupné z: https://doi.org/10.18653/v1/2024.acl-demos.17.Podrobněji: https://is.muni.cz/publication/2444112/cs
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SPIEGEL, Michal a Macko DOMINIK. KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection. Online. In Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá. Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024). Mexico City, Mexico: Association for Computational Linguistics, 2024, s. 558-564. ISBN 979-8-89176-107-0. Dostupné z: https://doi.org/10.18653/v1/2024.semeval-1.84.Podrobněji: https://is.muni.cz/publication/2444115/cs