TRR 318-2 - Project B07: Communicative practices of requesting information and explanation from LLM-based agents
Overview
The project investigates how users engage with LLM-based agents through prompting practices for information requests and explanations, focusing on ongoing sense-making and calibration processes as “situated inquiries.” Users often begin with an unclear understanding of their knowledge gap, which must be explored and refined through interaction. Our goal is to develop context-sensitive HMI frameworks that help users work effectively with AI systems while maintaining awareness of their risks and limitations.
Key Facts
- Project type:
- Forschung
- Project duration:
- 01/2026 - 06/2029
More Information
Publications
Identifying the periodicity of information in natural language
Show all publications
Y. Ou, Y. Wang, Y. Xu, H. Buschmeier, in: Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, San Diego, CA, USA, 2026, pp. 1161–1175.