Publications since 2015

ZORA Publication List

Publications

• 2025

  • Fischer, Dominic P

    • Fischer, D. P., & Volk, M. (2025). Name Consistency in LLM-based Machine Translation of Historical Texts (P. Bouillon, J. Gerlach, S. Girletti, L. Volkart, R. Rubino, R. Sennrich, A. C. Farinha, M. Gaido, J. Daems, H. Moniz, & S. Szoc, Eds.; XX; pp. 204–219). Association for Computational Linguistics. https://aclanthology.org/2025.mtsummit-1.16/
    • Fischer, D. P., & Volk, M. (2025). LLM-based Translation for Latin: Summaries Improve Machine Translation (J. Gerber, M. Cieliebak, D. Tuggener, & M. Hürlimann, Eds.; No. 10; pp. 75–80). Association for Computational Linguistics. https://aclanthology.org/2025.swisstext-1.7/

  • Fischer, Lukas

    • Fischer, L., Gao, Y., Lintner, A., Rios, A., & Ebling, S. (2025). SwissADT: An Audio Description Translation System for Swiss Languages 370–379. https://aclanthology.org/2025.naacl-industry.31/
    • Fischer, L., Gao, Y., Lintner, A., Rios, A., & Ebling, S. (2025). SwissADT: An Audio Description Translation System for Swiss Languages 370–379. https://doi.org/10.18653/v1/2025.naacl-industry.31

  • Fraga González, Gorka

    • Fraga González, G., Haller, P., Willinger, D., Gehrig, V., Frei, N., & Brem, S. (2025). Functional brain activations correlated with association strength and prediction error during novel symbol-speech sound learning Imaging Neuroscience, 3, imag_a_00439. https://doi.org/10.1162/imag_a_00439

  • Frei, Nada

    • Frei, N., Willinger, D., Haller, P., Fraga González, G., Pamplona, G., Haugg, A., Lutz, C. G., Coraj, S., Hefti, E., & Brem, S. (2025). Toward a Mechanistic Understanding of Reading Difficulties: Deviant Audiovisual Learning Dynamics and Network Connectivity in Children with Poor Reading Skills Journal of Neuroscience, 45, e1119242025. https://doi.org/10.1523/JNEUROSCI.1119-24.2025

  • Frei, Vanessa

    • Frei, V., & Giroud, N. (2025). Immersive auditory-cognitive training improves speech-in-noise perception in older adults with varying hearing and working memory Npj Science of Learning, 10, 12. https://doi.org/10.1038/s41539-025-00306-5
    • Frei, V., & Giroud Rickenbacher, N. R. (2025). Presenting Natural Continuous Speech in a Multisensory Immersive Environment Improves Speech Comprehension and Reflects the Allocation of Processing Resources in Neural Speech Tracking Journal of Cognitive Neuroscience, 37(11), 2126–2144. https://doi.org/10.1162/jocn_a_02306

  • Frenken, Florian

    • Frenken, F., Evert, S., Schneider, G., & Neumann, S. (2025). How stable are multivariate findings about register variation across varieties of English? On the replicability of Geometric Multivariate Analysis ICAME Journal, 49, 23–45. https://doi.org/10.2478/icame-2025-0003

  • Gao, Yingqiang

    • Gao, Y., Fischer, L., Lintner, A., & Ebling, S. (2025). Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies 471–490. https://doi.org/10.18653/v1/2025.findings-naacl.29

  • Gnehm, Ann-Sophie

    • Gnehm, A.-S. (2025). Bridging the Gap between Job Ad Texts and Labor Market Ontologies with Adaptation and Contextualization Techniques (Dissertation, University of Zurich)

  • Gubelmann, Reto

    • Gubelmann, R., & Karray, G. (2025). Assessing Reliability and Political Bias In LLMs’ Judgements of Formal and Material Inferences With Partisan Conclusions (W. Che, J. Nakatumba-Nabende, E. Shutova, & M. T. Pilehvar, Eds.; No. 63; pp. 30005–30031). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.acl-long.1450

  • Guitton, Clement

    • Guitton, C., Gubelmann, R., Karray, G., Mayer, S., & Tamò-Larrieux, A. (2025). Identifying open-texture in regulations using LLMs Artificial Intelligence and Law. https://doi.org/10.1007/s10506-025-09450-0

  • Haller, Patrick

    • Haller, P., Ding, C., Stegenwallner-Schütz, M., Reich, D. R., Koncic, I., Makowski, S., & Jäger, L. A. (2025). Replicate Me if You Can: Assessing Measurement Reliability of Individual Differences in Reading Across Measurement Occasions and Methods Cognitive Science, 50, e70121. https://doi.org/10.1111/cogs.70121
    • 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

  • Hongji, Li

    • Hongji, L., Michail, A., Gubelmann, R., Clematide, S., & Opitz, J. (2025). Sentence Smith: Controllable Edits for Evaluating Text Embeddings (C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng, Eds.; pp. 26428–26445). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-main.1343

  • Hopton, Zachary

    • Hopton, Z., & Chodroff, E. (2025). The Impact of Dialect Variation on Robust Automatic Speech Recognition for Catalan 23–33. https://doi.org/10.18653/v1/2025.sigmorphon-main.3

  • Hou, Ruijie

    • Hou, R., Jiao, Y., Hu, H., Li, Y., Lam, W., Zhang, H., & Lu, H. (2025). LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models 3512–3528. https://doi.org/10.18653/v1/2025.findings-emnlp.188

  • Hu, Hanxu

    • Hu, H., Vamvas, J., & Sennrich, R. (2025). Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents 23702–23712. https://doi.org/10.18653/v1/2025.findings-emnlp.1289

  • Huang, Xu

    • Huang, X., Zhu, W., Hu, H., He, C., Li, L., Huang, S., & Yuan, F. (2025). BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models 16751–16774. https://doi.org/10.18653/v1/2025.findings-emnlp.909

Pagination