Knowledge-aware Artificial Intelligence
From International Center for Computational Logic
Knowledge-aware Artificial Intelligence
- Contact Simon Razniewski
- Secretary kaai@tu-dresden.de
The KAAI group develops develops novel methods for generating, extracting and consolidating knowledge from, for and with text, language models (LLMs) and knowledge bases (KBs).
Further information can be found on the web site of the research group.
Professors and Research Group Leaders
Management
Scientific Staff
Newest Publications
Valentin Knappich, Anna Hätty, Simon Razniewski, Annemarie Friedrich
PAP2PAT: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs
Findings of the Annual Meeting of the Association for Computational Linguistics (ACL Findings), to appear
Details
Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh, Simon Razniewski
Enabling LLM Knowledge Analysis via Extensive Materialization
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Details
Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh, Simon Razniewski
GPTKB: Comprehensively Materializing Factual LLM Knowledge
Technical Report, arXiv.org, November 2024
Details
Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios
EMNLP, November 2024
Details Download
Courses
- Seminar Large Language Models and Knowledge-aware AI (SS 2025)
- Behind the secrets of large language models (WS 2024)
