About
Hi, I’m Frederic. I’m close to finishing my Master’s in Computer Science at the Hasso Plattner Institute in Potsdam. I am currently writing my master’s thesis, which looks at decreasing the prompt sensitivity of language models, under the supervision of Professor Gerard de Melo.
During the summer, I completed a research internship in the Research & Innovation team at SAP in Palo Alto. In this role, I explored agentic collaboration with Professor Diyi Yang from Stanford University.
I am interested in making large language models more robust and efficient, particularly by exploring how information encoded in their latent representations can improve training and generalization. In this area, I have looked into:
- Prompt agnostic LLMs
- Soft prompts
- Hierarchical LLMs
- Efficient BERT models
I have also looked into:
- Collaboration of agents on code tasks
- Reinforcement Learning for Code LLMs
You can find my publications here and my other projects here.
