Kategorie: ‘Theses’
Integrating Semantics in Data Spaces by the automatic generation of mapping rules between data sources and ontologies
Consistency-checking German Pathology Reports using Large Language models
High data quality is becoming increasingly critical to today’s medical research. After identifying respective data quality rules, data quality checks can be implemented relatively easily on structured data. However, Pathology reports are predominantly narrative reports. Thus, these reports, comprising microscopy, histology and diagnosis provide very few structured elements. Hence, consistency checking of the sections of a report is mainly performed manually. Recent Large Language Models provide the potential to automate this process.
Knowledge and Social Context-enhanced Fake News Detection
In today’s digital era, information disseminates rapidly through online platforms, such as Twitter. Those platforms have fundamentally transformed how societies communicate, share, and perceive information. On the other hand, it also presents challenges, notably in the spread of false information or so-called fake news. The spread of fake news has been shown to sway public opinion, disrupt electoral processes, and even endanger public safety.
WILLM: A System for Academic Writing Improvement basedon Large Language Models
Writing is an essential skill in both academic and professional contexts, that allows individuals to convey their thoughts, ideas, and information in a clear and concise manner. However, it can still be challenging to write effectively, efficiently, and accurately, especially for non-native speakers of the language.
Scientific Question Answering using Retrieval-Augmented Large Language Models
The immense growth of scientific literature makes it nearly impossible for researchers to keep pace with all new developments in their domains. An automated scientific Question Answering (QA) system could substantially expedite the process of literature review, hypothesis generation, and knowledge extraction. With the emergence of Large Language Models (LLMs) like GPT, BERT, and their successors, the landscape of QA has significantly shifted.
Using LLMs to Support Modernization of Legacy Systems
In recent years, the advancements in natural language processing and machine learning have revolutionized various industries and domains.
This thesis aims to explore the potential of training a Large Language Model (LLM) on Git source code repositories to enable it to effectively respond to queries regarding the codebase, such as dependencies and functionality.
Developing a Flexible Interface for Agent-Behaviors inMulti-Agent-System Simulations of Electrical Power Systems
Analysing Policy Documents using AI-based Large Language Models (LLMs)
Analysing Policy Documents Using AI
Analysing Scientific Publications using AI-based Large Language Models (LLMs)
Analysing Scientific Publications Using AI