WHOOPS!

Overview

WHOOPS! is a benchmark from the community for evaluating vision-and-language models on synthetic and compositional images. It tests common sense reasoning by presenting model-generated scenes that break typical real-world expectations.

Best for

Best for
Researchers evaluating vision-language models on common sense and compositional reasoning

Use cases

• Benchmarking vision-language models on common sense violations
• Evaluating compositional understanding in synthetic scenes
• Testing model robustness to atypical image compositions

Notes

WHOOPS! is a benchmark from the community for evaluating vision-and-language models on synthetic and compositional images. It tests common sense reasoning by presenting model-generated scenes that break typical real-world expectations.

Use cases

• Benchmarking vision-language models on common sense violations
• Evaluating compositional understanding in synthetic scenes
• Testing model robustness to atypical image compositions

Pros

• Focuses on challenging common sense reasoning, a key weakness in many models
• Synthetic images allow precise control over compositional elements
• Community-driven benchmark fosters open research

Cons

• Synthetic images may not transfer perfectly to real-world scenarios
• Limited to vision-language tasks, not multi-modal beyond those
• Narrow scope on common sense violations may not cover broader model capabilities

Indexed from awesome-llm and enriched against its public facts.