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Prof. Dr. Simon Razniewski

Chair of Knowledge-Aware Artifical Intelligence

TUD Dresden University of Technology

Theses

The Knowledge-aware AI group has limited capacity for project and thesis topics (research projects within BSc. and MSc. studies at TUD, final theses, PhD theses, etc.). Below is an incomplete list of possible topics. We are also open to your own topic suggestions around the themes of LLMs, KGs, and knowledge-aware AI. For expressions of interest, or further questions, email Simon Razniewski. Please make sure to attach a current transcript.

ID	Level	Topic	Keywords
1	B.Sc./M.Sc.	Eliciting large sets from LLMs: What works and what doesn’t	Large-scale prompting
2	B.Sc./M.Sc.	Generational awareness of LLMs	Commonsense KB construction and evaluation
3	B.Sc./M.Sc.	Taxonomy and action item extraction from legal frameworks (w/ Xpect AG)	Information extraction
4	M.Sc.	Making LLMs entity-aware	Entities and knowledge bases
5	M.Sc.	Estimating object set sizes with LLMs and species sampling techniques	Entities and statistics
6	M.Sc.	Comprehensively Materializing Argumentative LLM Knowledge
7	M.Sc.	Saxon (“Sächsisch”) LLM construction	Data curation, LLM fine-tuning
8	M.Sc./PhD	Large-scale KB construction from LLMs	LLMs, KBs
9	M.Sc./PhD	Multi-valued LLM editing	LLMs, KBs

funded by:

ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is a center for Data Science, Artificial Intelligence and Big Data with locations in Dresden and Leipzig.