Evaluating Vision-Language Models on the TriangleCOPA Benchmark
DOI:
https://doi.org/10.32473/flairs.37.1.135485Abstract
The TriangleCOPA benchmark consists of 100 textual questions with videos depicting the movements of simple shapes in the style of the classic social-psychology film created by Fritz Heider and Marianne Simmel in 1944. In our experiments, we investigate the performance of current vision-language models on this challenging benchmark, assessing the capability of these models for visual anthropomorphism and abstract interpretation.
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Copyright (c) 2024 Ankur Chemburkar, Andrew Gordon, Andrew Feng

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.