Research Group
Adrián Bindas
Research areas: Computer vision, Multimodal LLMs, LLM Agents, Auditing social media platforms
Position: Research Engineer
Adrián graduated with a bachelor’s degree in Computer Science from the Faculty of Informatics at Masaryk University, Brno, where he discovered a passion for deep learning and neural networks. His thesis centred on applying machine learning and image processing in the medical field, specifically improving the interpretability of convolutional neural networks through clustering methods. Currently studying Applied Informatics at Comenius University and his diploma thesis is focused on low-resource multimodal approach to agentic web navigation.
Selected Projects
Selected Publications
Revisiting Algorithmic Audits of TikTok: Poor Reproducibility and Short-term Validity of Findings
Social media platforms are constantly shifting towards algorithmically curated content based on implicit or explicit user feedback. Regulators, as well as researchers, are calling for systematic social media algorithmic audits…