Research Topic
Trustworthy Knowledge-Grounded LLM Systems for Data Management
My research focus on how external knowledge is retrieved, qualified, and governed to support trustworthy LLM-assisted data-management actions.
Research Interests
Retrieval-Augmented Generation (RAG), LLM Agents, Trustworthy Knowledge-Grounded Systems, and Intelligent Data Pipelines.
Related Publications
- Chen, B., & Taipalus, T. (2026). AstraClean-RAG: Integrating Domain Knowledge and Correction Log for Tabular Data Cleaning. Accepted for publication at ADBIS 2026.
- Chen, B., & Taipalus, T. (2026). AstraClean-RAG: Supporting Human–LLM Collaboration in Tabular Data Cleaning through Dual-Source Retrieval. Accepted for publication at ACM CHI Co-Data Workshop 2026.
- Chen, B., & Taipalus, T. (2025). Metadata-aware RAG for Enforcing Access Control and Metadata-based Filtering: Proof of Concept and Evaluation. In Proceedings of ACM RACS 2025.
- Peltola, N., Grahn, H., Nurminen, M., Vartiainen, K., Chen, B., & Taipalus, T. (2026). Relational Thinking Meets NoSQL: Challenges in Learning MongoDB and Cassandra. In Proceedings of ITiCSE 2026.