For Students

Ongoing Theses

• Halle
  • Building Medical Knowledge Graphs for Knowledge Injection in LLMs (supervised by Alexander Bondarenko and Jan Heinrich Merker)
• Jena
  • Testing the Limits of Multi-Vector Bi-Encoder Models (supervised by Ferdinand Schlatt)
  • Microblog Retrieval on the Fediverse (supervised by Jan Heinrich Merker and Matti Wiegmann)
  • Analyzing the Effectiveness of Community Self-moderation on the Fediverse (supervised by Jan Heinrich Merker and Matti Wiegmann)
  • Large-scale Query Log Analyses (supervised by Jan Heinrich Merker)
  • Dense Boolean Retrieval for Systematic Reviews (supervised by Ferdinand Schlatt)
  • Improving Learned Lexical Retrieval Models by Removing Lexical Dependencies (supervised by Ferdinand Schlatt)
  • Combining Query Segmentation with Subword Tokenization in Dense Retrieval (supervised by Ferdinand Schlatt and Maik Fröbe)
  • Reducing the Size of Dense Retrieval Indexes by Removing Unimportant Terms (supervised by Ferdinand Schlatt)
  • Estimating the Trustworthiness of Wikipedia Articles (supervised by Jan Heinrich Merker and Matthias Hagen)
  • Argument Mining in the AQL (supervised by Ines Zelch)
• Leipzig
  • Optimizing Prompts for Text-To-Image Generation in Discrete Token Space (supervised by Niklas Deckers)
  • Extracting negated causal statements (supervised by Tim Hagen)
  • Facets of complexity in scholarly political language (supervised by Magdalena Wolska)
  • Simplifying the language of political argumentation (supervised by Magdalena Wolska)
  • Text2SQL. Exploring Relational Databases with Natural Language User Interfaces (supervised by Tim Gollub)
  • Psychological Features of Argumentation (supervised by Maximilian Heinrich)
  • Lightweight Passage Re-ranking Using Embeddings from Pre-trained Language Models (supervised by Ferdinand Schlatt and Harry Scells)
  • Logical Features of Neural Networks (supervised by Maximilian Heinrich)
  • Classification of Multimodal Social Media Posts (supervised by Tim Gollub)
  • Active Learning for Text Classification (supervised by Christian Kahmann and Christopher Schröder)
  • Incorporating Knowledge Graph Embeddings in Large Language Models (supervised by Ferdinand Schlatt)
  • Normdaten-Disambiguierung und Reconciliation auf Korpusdaten (supervised by Erik Körner and Felix Helfer)
  • Statistical Bootstrap Tests with Redundant Data (supervised by Maik Fröbe)
  • Mining Trigger Warnings from the Web and Social Media (supervised by Matti Wiegmann)
• Weimar
  • How Humans Detect Cloned Voices (supervised by Johannes Kiesel and Marcel Gohsen)
  • Automated Conversational Search Evaluation (supervised by Nailia Mirzakhmedova and Johannes Kiesel)
  • Language Model Evaluation Game (supervised by Johannes Kiesel)
  • Retrieval Augmented Generation for Enhanced Access to Industrial Documentation (supervised by Tim Gollub)
  • Mimicking Personas of Dialog Participants with Large Language Models (supervised by Marcel Gohsen)
  • Personalizing Harm Reduction in Text Generation (supervised by Marcel Gohsen and Matti Wiegmann)
  • Personalizing Question Answering (supervised by Marcel Gohsen and Matti Wiegmann)
  • Character-Driven Story Generation Through Character Networks (supervised by Marcel Gohsen)
  • Health-Related Queries in Large-Scale Query Logs (supervised by Jan Heinrich Merker)
  • Information Extraction from Academic Mailing Lists (supervised by Tim Gollub)
  • Topic Segmentation with Large Language Models (supervised by Johannes Kiesel)
  • Retrieval Augmented Generation for the IR-Anthology (supervised by Tim Gollub)
  • Mining Linked Data on Web Scale (supervised by Nikolay Kolyada)
  • Efficient and Effective Neural Translation Language Model for Search (supervised by Harry Scells)
  • Rating the Degree of Search Engine Optimization of Websites (supervised by Janek Bevendorff and Matti Wiegmann)