Evaluating Vision-Language Models on the TriangleCOPA Benchmark

Autores/as

  • Ankur Chemburkar University of Southern California
  • Andrew Gordon University of Southern California
  • Andrew Feng University of Southern California

DOI:

https://doi.org/10.32473/flairs.37.1.135485

Resumen

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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Publicado

2024-05-13

Cómo citar

Chemburkar, A., Gordon, A., & Feng, A. (2024). Evaluating Vision-Language Models on the TriangleCOPA Benchmark. The International FLAIRS Conference Proceedings, 37(1). https://doi.org/10.32473/flairs.37.1.135485