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en:wiki:user:jirimilicka [2025/07/10 18:38] – [Presentations] jirimilickaen:wiki:user:jirimilicka [2026/04/10 00:31] (current) – [Presentations] jirimilicka
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   *corpus linguistics   *corpus linguistics
   *quantitative linguistics   *quantitative linguistics
-  *Arabic language+  *Czech and Arabic language
  
 ===== Education ===== ===== Education =====
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 ==== Preprints ==== ==== Preprints ====
-  * Milička, J., Marklová, A., Drobil, O., & Pospíšilová, E. (2025). Humans can learn to detect AI-generated texts, or at least learn when they can't. arXiv preprint arXiv:2505.01877. https://arxiv.org/abs/2505.01877 +  * Milička, J., & Bednářová, H. (2026). Sydney Telling Fables on AI and Humans: A Corpus Tracing Memetic Transfer of Persona between LLMs. arXiv preprint https://arxiv.org/abs/2602.22481. 
-  * Marklová, A., Milička, J., Ryvkin, L., Lacková Bennet, Ľ., & Kormaníková, L. (2025). Iconicity in Large Language Models. arXiv preprint arXiv:2501.05643. https://arxiv.org/abs/2501.05643 +  * Marklová, A., Vinš, O., Vokáčová, M., & Milička, J. (2025). The author is dead, but what if they never lived? A reception experiment on Czech AI- and human-authored poetry. arXiv preprint https://arxiv.org/abs/2511.21629.   
-  * Milička, J., Marklová, A., Láznička, M., Diatka, V., Bednářová, H., Matela, J., & Škrabal, M. (2025, January 7). Sources of Intelligibility of Distant Languages: An Empirical Study. https://doi.org/10.31219/osf.io/sk9hw +  * Milička, J., Marklová, A., & Cvrček, V. (2025). Benchmark of stylistic variation in LLM-generated texts. arXiv preprint http://arxiv.org/abs/2509.10179. 
-  * Milička, J. (2024). Simple stochastic processes behind Menzerath’s Law. arXiv [Cs.CL]. Retrieved from http://arxiv.org/abs/2409.00279 +  * Milička, J., Marklová, A., & Cvrček, V. (2025). AI Brown and AI Koditex: LLM-Generated Corpora Comparable to Traditional Corpora of English and Czech Texts. arXiv preprint https://arxiv.org/abs/2509.22996.   
-  * Milička, J. (2024). Theoretical and Methodological Framework for Studying Texts Produced by Large Language Models. arXiv [Cs.CL]. Retrieved from http://arxiv.org/abs/2408.16740+  * Milička, J. (2024). Theoretical and Methodological Framework for Studying Texts Produced by Large Language Models. arXiv [Cs.CL]. Retrieved from https://arxiv.org/abs/2408.16740
  
 +==== 2026 ====
 +  *Milička, J., & Machálek T. (2026): AI Corpus Linguist: More than a Year of Experience. SIGHUM (LaTeCH-CLfL) workshop at EACL 2026. [[https://aclanthology.org/2026.latechclfl-1.29/|EACL 2026]]
 +==== 2025 ====
 +  *Marklová, A., Milička, J., Ryvkin, L., Lacková Bennet, L. U., & Kormaníková, L. (2025). Iconicity in large language models. Digital Scholarship in the Humanities, [[https://academic.oup.com/dsh/advance-article/doi/10.1093/llc/fqaf095/8257789|DSH]]. 
 +  * Milička, J., Marklová, A., Drobil, O., & Pospíšilová, E. (2025). Learning to detect AI texts and learning the limits. PloS one, 20(10), [[https://doi.org/10.1371/journal.pone.0333007|e0333007]].
 +  * Milička, J. (2025). Simple stochastic processes behind Menzerath’s Law. In A. Pawłowski, S. Embleton, J. Mačutek, & A. Xanthos (Eds.), //Mathematical Modelling in Linguistics and Text Analysis: Theory and applications// (pp. 43–59). Amsterdam: John Benjamins. [[https://www.benjamins.com/catalog/cilt.370.04mil]] Preprint available at [[http://arxiv.org/abs/2409.00279]].
 +  * Milička, J., Marklová, A., Láznička, M., Diatka, V., Bednářová, H., Matela, J., & Škrabal, M. (2025). Sources of Intelligibility of Distant Languages: An Empirical Study. //Language and Speech, 0(0)//. [[https://doi.org/10.1177/00238309251345952]]
 ==== 2024 ==== ==== 2024 ====
   * Milička, J., Marklová, A., VanSlambrouck, K., Pospíšilová, E., Šimsová, J., Harvan, S., & Drobil, O. (2024). Large language models are able to downplay their cognitive abilities to fit the persona they simulate. //Plos one, 19(3), [[https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0298522|e0298522]]//.   * Milička, J., Marklová, A., VanSlambrouck, K., Pospíšilová, E., Šimsová, J., Harvan, S., & Drobil, O. (2024). Large language models are able to downplay their cognitive abilities to fit the persona they simulate. //Plos one, 19(3), [[https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0298522|e0298522]]//.
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 ===== Presentations ===== ===== Presentations =====
 +    *2026/5 (JM, Laura Janda, Dominika Kováříková): presentation //Grammatical and Syntactic bias in Large Language Models// ICAME 47, Koblenz, Germany.
 +    *2026/5 (Ondřej Tichý, Barbora Bulantová, Magdalena Titlbachová, AnnaMarklová, JM) presentation //Benchmarking Large Language Models for Linguistic Research// ICAME 47, Koblenz, Germany.
 +    *2026/3 (JM, Tomáš Machálek): poster //AI Corpus Linguist: More than a Year of Experience// SIGHUM (LaTeCH-CLfL) 2026 workshop at EACL, Rabat, Morocco. 
     *6/2025 (JM, Anna Marklová, Václav Cvrček) Presentation //AI-Brown// at Corpus Linguistics 2025 conference (Birmingham, Great Britain).     *6/2025 (JM, Anna Marklová, Václav Cvrček) Presentation //AI-Brown// at Corpus Linguistics 2025 conference (Birmingham, Great Britain).
     *6/2025 Presentation //Comparison of Human-Written and LLM-Generated Texts: An incomplete QL Package// at QUALICO conference (Brno, Czech Republic).     *6/2025 Presentation //Comparison of Human-Written and LLM-Generated Texts: An incomplete QL Package// at QUALICO conference (Brno, Czech Republic).

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