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FIT, UPGM – vědecký pracovník
+420 54114 1422idocekal@fit.vut.cz
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2025
FAJČÍK, M.; DOČEKAL, M.; DOLEŽAL, J.; ONDŘEJ, K.; BENEŠ, K.; SMRŽ, P.; POLOK, A.; HRADIŠ, M. BenCzechMark : A Czech-Centric Multitask and Multimetric Benchmark for Large Language Models with Duel Scoring Mechanism. Transactions of the Association for Computational Linguistics, 2025, vol. 13, no. 9, p. 1068-1095. Detail
2022
DOČEKAL, M.; SMRŽ, P. Query-Based Keyphrase Extraction from Long Documents. In The International FLAIRS Conference Proceedings. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference. 2022. Jensen Beach: LibraryPress@UF, 2022. no. 35, p. 1-4. ISSN: 2334-0762.Detail
2021
FAJČÍK, M.; DOČEKAL, M.; ONDŘEJ, K.; SMRŽ, P. R2-D2: A Modular Baseline for Open-Domain Question Answering. In Findings of the Association for Computational Linguistics: EMNLP 2021. Findings of the Association for Computational Linguistics. Punta Cana: Association for Computational Linguistics, 2021. p. 854-870. ISBN: 978-1-955917-10-0.Detail
MIN, S.; FAJČÍK, M.; DOČEKAL, M.; ONDŘEJ, K.; SMRŽ, P. NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. In Proceedings of the NeurIPS 2020 Competition and Demonstration Track. Proceedings of Machine Learning Research. Proceedings of Machine Learning Research. online: Proceedings of Machine Learning Research, 2021. no. 133, p. 86-111. ISSN: 2640-3498.Detail
2020
JON, J.; FAJČÍK, M.; DOČEKAL, M.; SMRŽ, P. BUT-FIT at SemEval-2020 Task 4: Multilingual commonsense. In Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona: Association for Computational Linguistics, 2020. p. 374-390. ISBN: 978-1-952148-31-6.Detail
DOČEKAL, M.; FAJČÍK, M.; JON, J.; SMRŽ, P. JokeMeter at SemEval-2020 Task 7: Convolutional Humor. In Proceedings of the Fourteenth Workshop on Semantic Evaluation. 2020. Barcelona (online): Association for Computational Linguistics, 2020. p. 843-851. ISBN: 978-1-952148-31-6.Detail
FAJČÍK, M.; DOČEKAL, M.; JON, J.; SMRŽ, P. BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation models. In Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona (online): Association for Computational Linguistics, 2020. p. 437-444. ISBN: 978-1-952148-31-6.Detail
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