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Philipp Davydov

MSc Student
University of Tübingen

Interests

  • Trustworthy AI

  • Explainable AI

  • Training Data Attribution

Education

  • BSc in Mathematical Data Science, 2023

    Georg-August University, Göttingen

Biography

I am a MSc student at the University of Tübingen, supervised by Seong Joon Oh, Elisa Nguyen, and Ameya Prabhu (Bethgelab Tübingen). My thesis aims to quantify the influence of training data samples on LLM-generated text. I am especially interested in how attribution results differ between base models and instruction-tuned models.

I earned my Bachelor’s degree with distinction in Mathematical Data Science at the Georg-August University in Göttingen, where I wrote my thesis in cooperation with AUDI AG. There, I explored Active Learning to reduce labeling costs in Surface Defect Detection for Automobiles.

Before starting my Master’s thesis, I was a research assistant at the German Aerospace Center (DLR) for two years, focusing on Computer Vision systems for UAVs.

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