ZORA Publikationsliste

Publikationen

• Thouvenin, F., Jäger, L., Donzé, J., Ammann, V., Deutschmann, L., Hänni, L., Jobareth, M., & Marchewka, A. (2026). Training von KI-Modellen und Urheberrecht: Technische Grundlagen, Stand der Diskussion und Lösungsansätze sic! : Zeitschrift für Immaterialgüter-, Informations- und Wettbewerbsrecht, online. https://www.legalis.ch/de/sic/sic-artikel/?training-von-ki-modellen-und-urheberrecht-technische-grundlagen-stand-der-diskussion-und-loesungsansaetze&id=22631
• Shubi, O., Reich, D. R., Grutke Klein, K., Angel, Y., Prasse, P., Jäger, L., & Berzak, Y. (2025). EyeBench: Predictive Modeling from Eye Movements in Reading (No. 39). online.
• Ding, C., Yin, Y., Jäger, L., & Wilcox, E. (2025). Modeling Bottom-up Information Quality during Language Processing (C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng, Eds.; pp. 11709–11721). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-main.592
• Bolliger, L. S., & Jäger, L. (2025). Genre Matters: How Text Types Interact with Decoding Strategies and Lexical Predictors in Shaping Reading Behavior (C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng, Eds.; pp. 7470–7487). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-main.379
• Weber, S., Deperrois, N., Heun, R., Frühschütz, L., Monn, A., Homan, S., Häfliger, A., Seifritz, E., Kowatsch, T., Jäger, L., Schultebraucks, K., Gershov, S., Mocellin, J., Kleim, B., & Olbrich, S. (2025). Using a fine-tuned large language model for symptom-based depression evaluation Npj Digital Medicine, 8(1), 598. https://doi.org/10.1038/s41746-025-01982-8
• Haller, P., Vamvas, J., Sennrich, R., & Jäger, L. (2025). Leveraging In-Context Learning for Political Bias Testing of LLMs (W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar, Eds.; No. 63; pp. 24718–24738). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-long.1205
• Siegelman, N., Schroeder, S., Bao, Y. B., Acartürk, C., Agrawal, N., Bolliger, L. S., Brasser, J., Campos-Rojas, C., Drieghe, D., Filipović Đurđević, D., Goldina, S., Ibáñez Orellana, R., Jäger, L., Jóhannesson, Ó. I., Khare, A., Kharlamov, N., Knudsen, H. B. S., Kristjánsson, Á., Lee, C. E., … et al. (2025). Wave 2 of the Multilingual Eye-Movement Corpus (MECO): New text reading data across languages Scientific Data, 12, 1183. https://doi.org/10.1038/s41597-025-05453-3
• Bolliger, L. S., Haller, P., Cretton, I. C. R., Reich, D. R., Kew, T., & Jäger, L. (2025). EMTeC: A Corpus of Eye Movements on Machine-Generated Texts Behavior Research Methods, 57, 189. https://doi.org/10.3758/s13428-025-02677-4
• Jakobi, D. N., Stegenwallner-Schütz, M., Hollenstein, N., Ding, C., Kasperė, R., Matić Škorić, A., Pavlinušić Vilus, E., Frank, S., Müller, M.-L., Jensen De López, K. M., Kharlamov, N., Knudsen, H. B. S., Berzak, Y., Lion, E., Sekerina, I., Acarturk, C., ANSARI, M. F., Harezlak, K., Kasprowski, P., … Jäger, L. (2025). MultiplEYE: Creating a Multilingual Eye-Tracking-While-Reading Corpus (Y. Sugano, M. Khamis, A. Chetouani, L. Sidenmark, & A. Bruno, Eds.; p. 111). ACM Digital library. https://doi.org/10.1145/3715669.3726843
• Brasser, J., Tschirner, C., Stegenwallner-Schütz, M., Jakobi, D. N., & Jäger, L. (2025). Predicting Children’s Reading Comprehension Through Eye Movements: Insights from Visual Search and Interpretable Machine Learning (Y. Sugano, M. Khamis, A. Chetouani, L. Sidenmark, & A. Bruno, Eds.; p. 116). ACM Digital library. https://doi.org/10.1145/3715669.3726844
• Jakobi, D. N., Kern, T., Reich, D. R., Haller, P., & Jäger, L. (2025). PoTeC: a German Naturalistic Eye-Tracking-While-Reading Corpus Behavior Research Methods, 57, 211. https://doi.org/10.3758/s13428-024-02536-8
• Bondar, A., Reich, D. R., & Jäger, L. (2025). AlEYEgnment: Leveraging Eye-Tracking-While-Reading to Align Language Models with Human Preferences (C. Acarturk, J. Nasir, B. Can, & Ç. Çöltekin, Eds.; No. 1; pp. 58–70). Association for Computational Linguistics. https://aclanthology.org/2025.gaze4nlp-1.8/
• Kuperman, V., Schroeder, S., Acartürk, C., Agrawal, N., Alexandre, D. M., Bolliger, L. S., Brasser, J., Campos-Rojas, C., Drieghe, D., et al, Reich, D. R., & Jäger, L. (2025). New data on text reading in English as a second language: The Wave 2 expansion of the Multilingual Eye-Movement Corpus (MECO) Studies in Second Language Acquisition, 47, 677–695. https://doi.org/10.1017/S0272263125000105
• Kiegeland, S., Reich, D., Cotterell, R., Jäger, L., & Wilcox, E. (2024). The Pupil Becomes the Master: Eye-Tracking Feedback for Tuning LLMs online. https://openreview.net/pdf?id=8oLUcBgKua
• Alakmeh, T., Reich, D., Jäger, L., & Fritz, T. (2024). Predicting code comprehension: a novel approach to align human gaze with code using deep neural networks (Vol. 1, No. FSE, Article 88). 1982–2004. https://doi.org/10.1145/3660795
• Bradshaw, L., Chodroff, E., Jäger, L., & Dellwo, V. (2022). Fundamental Frequency Variability over Time in Telephone Interactions 101–105. https://doi.org/10.21437/interspeech.2022-10669
• Hollenstein, N., Gonzalez-Dios, I., Beinborn, L., & Jäger, L. (2022). Patterns of text readability in human and predicted eye movements 1–15. https://doi.org/10.26615/978-954-452-056-4_001