What is your thesis about and how did you come across this topic?
My master's thesis is entitled »Finetuning of LLMs for Entity Extraction from Mathematical Models«. The topic builds on the »MaRDI« infrastructure, which is about better structuring mathematical background knowledge and designing research data according to the FAIR principles (Findable, Accessible, Interoperable, Reusable) and thus sustainably promoting research.
One example would be a doctor who uses X-ray technology to diagnose a fracture or other injury. He uses measuring devices and mathematical models to evaluate the images – this specific mathematical knowledge is currently not structured in such a way that other professional groups could easily adopt it. It would therefore have to be researched anew by them.
For my Master's thesis, I am currently working on using artificial intelligence to read and summarize research papers. The aim is to integrate the resulting data directly into our system and infrastructure. At the moment, this process is still done manually, which requires a lot of effort as the papers have to be summarized and entered individually.