Filip Kučera

PhD Candidate at JMU Würzburg. Member of the Media Bias Group. Currently at NII Tokyo!

FilipK_NTK.jpg

2-1-2 Hitotsubashi

Chiyoda-ku

Tokyo

My research focuses on evaluating and developing methods of mechanistic interpretability to detect, quantify and mitigate biases within Vision-Language Models.

I am in my first year of PhD, supervised by Radu Timofte at the JMU Würzburg, working closely with the Media Bias Group in-person at NII Tokyo, invited here by Prof. Echizen-sensei.

I’ve extensive teaching experience - taught Computer Architectures course at the CTU Prague university, taught robotics course at a Grammar School, years of high-school robotic workshops teaching for the National Library of Technology in Prague, years of teaching preparatory programming Bootcamp for newly admitted students at the FEE CTU. I have also worked as a research fellow in various labs since my first year of studies and after my first year I’ve delivered a conference talk about my first project.

research Interests

  • Mechanistic Interpretability
  • Vision-language models
  • Uncovering bias inside models

current Projects

  • Interpreting Adversarial Attacks
  • Automated (Media Bias) Taxonomy Building

selected publications

  1. KEIR
    SciDef: Datasets and Tools for Automated Definition Extraction from Scientific Literature with LLMs
    Filip Kučera, Christoph Mandl, Isao Echizen, and 2 more authors
    2026
    Accepted at the Third Workshop on Knowledge-Enhanced Information Retrieval (KEIR @ CIKM 2026).
  2. Preprint
    Mechanistic Interpretability for Bias and Fairness in (Vision-)Language Models: A Systematic Review
    Filip Kučera, Carsten Eickhoff, Isao Echizen, and 2 more authors
    2026
    Preprint submitted to ACM Computing Surveys (CSUR).
  3. RiE
    Single Session Walking Robot Workshop for High School Students
    Martin Zoula and Filip Kučera
    In International Conference on Robotics in Education, 2023