CV
Education
- M.Sc. Computational Linguistics, Ludwig-Maximilians-University Munich, 2022–2024
- Final grade: 1.11
- Thesis (1.0): Analyzing Slot and Intent Detection for Upper German Dialects via Zero-Shot Transfer Learning, supervised by Verena Blaschke & Prof. Barbara Plank
- B.Sc. Computational Linguistics (minor in Language, Literature, Culture), Ludwig-Maximilians-University Munich, 2019–2022
- Final grade: 1.58
- Thesis (1.0): Creating a Multilingual Gold Standard for Case Marker Extraction, supervised by Leonie Weissweiler & Prof. Hinrich Schütze
- B.A. English Studies (minor in Communication Science), Ludwig-Maximilians-University Munich, 2016–2019
- Final grade: 2.34
- Thesis (2.3): The Victorian Governess in ‘Jane Eyre’ and ‘Agnes Grey’, supervised by Dr. Claudia Schattmann
Work Experience
- since February 2026: Research Assistant / PhD Student
- University of Augsburg — Faculty of Applied Computer Sciences, Chair of Computational Linguistics (Prof. Annemarie Friedrich)
- Research on NLP in low-resource scenarios
- Teaching: Natural Language Understanding seminar and introductory Python course
- October 2024 – January 2026: Junior Data Scientist
- CHECK24 Vergleichsportal
- Improving RAG for chatbot and mailbot systems (dynamic prompt generation based on customer data, multi-call generation & evaluation)
- Building an agentic LLM framework for chat requests (tool calls, MCP Server, automation of backend customer service processes)
- Database logging of customer–AI interactions
- February 2023 – September 2024: Working Student — Data Science & Chatbot Product Management
- CHECK24 Vergleichsportal
- Maintenance, revision & extension of a chat tree
- Training & deploying chat intent classifiers
- Introducing & prompting generative LLM chat answers
Research Interests
- Low-resource NLP, narrative detection, fact checking, misinformation detection
- Human-centric and trustworthy NLP
- NLP for dialects and non-standard languages
In short: How can we make generative AI-powered dialogue systems and NLP applications safely accessible — especially for dialectal and non-standard language speakers?
Languages
- German (native, Bavarian dialect)
- English (B2+/C1)
- Spanish (B1/B1+)
- Latin (advanced certificate)
Publications
Hanna Schmück, Veronika Urban, Xaver Krückl, Sonja Zeman, Claudia Claridge, and Annemarie Friedrich. (2026). "Cross-Linguistic Situation Entity Segmentation for Discourse Analysis in Diachronic English and German Text." In Proceedings of the 20th Linguistic Annotation Workshop (LAW XX), pages 95–112, San Diego, California, USA. Association for Computational Linguistics.
Xaver Maria Krückl, Verena Blaschke, and Barbara Plank. (2025). "Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study." In Proceedings of the 12th Workshop on NLP for Similar Languages, Varieties and Dialects, pages 128–146, Abu Dhabi, UAE. Association for Computational Linguistics.
