Modular Ebbinghaus Benchmark for LLMs and Human Participants
Abstract
First stable release of the Modular Ebbinghaus Benchmark - a full R toolkit for generating Ebbinghaus illusion stimuli and evaluating vision-language model (VLM) accuracy. Includes complete source code, example trial tables (CSV), and sample stimulus images.
Fields of Study & Subjects
Visual perception and processing mechanisms
Multimodal Machine Learning Applications
Categorization
perception
and language
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 March 2026
- Language
- EN