Jasmin Heierli
Jasmin Heierli
ZHAW
School of Management and Law
Institute of Information Systems
Theaterstrasse 17
8400 Winterthur
Network
ORCID digital identifier
Projects
- AI-enabled sustainable finance advisory / Team member / ongoing
- Emerging Skills Insights / Team member / ongoing
- Multimodal Detection of Toxicity in Video Games / Team member / completed
- ERZ-SmartAssistant / Team member / completed
- Multimodal Anonymization of Gameplay Data / Team member / completed
- Digital Companion / Team member / completed
Publications
Written conference contributions, peer-reviewed
- Heierli, J., Bahar Ganjineh, R., & Gavagnin, E. (2025). Evaluating LLM capabilities in low-resource contexts : a case study of Persian linguistic and cultural tasks (E. L. Estevanell-Valladares, A. Picazo-Izquierdo, T. Ranasinghe, B. Mikaberidze, S. Ostermann, D. Gurgurov, P. Müller, K. Micallef, C. Borg, M. Gregor, & M. Simko, Eds.; pp. 111–120) [Conference paper]. Incoma. https://doi.org/10.26615/978-954-452-100-4-012
- Heierli, J., Gavagnin, E., Wu, W., Händler-Schuster, D., Dolata, M., Schwabe, G., & de Spindler, A. (2025). From conversation to agent : LLM-driven design of structured healthcare agents [Conference paper]. Procedia Computer Science, 272, 269–276. https://doi.org/10.1016/j.procs.2025.10.205
- Mladenov, P., Heierli, J., de Spindler, A., & Gavagnin, E. (2025). Missing pieces : how humans and GPT-4.1 detect absence and predict the unseen [Conference paper]. Proceedings of the 1st International Workshop on MLLM for Unified Comprehension and Generation, 9–13. https://doi.org/10.1145/3746276.3760466
- Pareti, S., Heierli, J., Pareti, S., & Lando, T. (2024). Bias bluff busters at FIGNEWS 2024 shared task : developing guidelines to make bias conscious [Conference paper]. Proceedings of the Second Arabic Natural Language Processing Conference, 580–589. https://doi.org/10.18653/v1/2024.arabicnlp-1.62
- Städeli, R., Leu, R., Heierli, J., Meisterhans, M., Gavagnin, E., & de Spindler, A. (2024). Multimodal conversational interactions for facial composites : a case for stateful prompt orchestration [Conference paper]. In C. Capol, M. Cieliebak, A. Weichselbraun, C. Musat, E. Maier, & L. Zimmermann (Eds.), Proceedings of the 9th edition of the Swiss Text Analytics Conference (pp. 59–67). Association for Computational Linguistics. https://doi.org/10.21256/zhaw-32139
- Wu, W., Heierli, J., Meisterhans, M., Moser, A., Färber, A., Dolata, M., Gavagnin, E., de Spindler, A., & Schwabe, G. (2024). PROMISE : model-driven stateful prompt orchestration for persuasive conversational interactions. 9th Swiss Text Analytics Conference – SwissText 2024, Chur, Switzerland, 10-11 June 2024.
- Mladenov, P., Pinheiro, L., Pelesevic, D., & Heierli, J. (2024). Exploring personalized learning support through retrieval augmented generation : a feasibility study [Conference paper]. In C. Capol, M. Cieliebak, A. Weichselbraun, C. Musat, E. Maier, & L. Zimmermann (Eds.), Proceedings of the 9th edition of the Swiss Text Analytics Conference (pp. 144–147). Association for Computational Linguistics. https://doi.org/10.21256/zhaw-32141
- Wu, W., Heierli, J., Meisterhans, M., Moser, A., Färber, A., Dolata, M., Gavagnin, E., de Spindler, A., & Schwabe, G. (2024). PROMISE : a framework for model-driven stateful prompt orchestration [Conference paper]. In S. Islam & A. Sturm (Eds.), Intelligent Information Systems (pp. 157–165). Springer. https://doi.org/10.1007/978-3-031-61000-4_18