2025
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation
CVPR 2025poster
The rapid development of vision language models (VLMs) demands rigorous and reliable evaluation. However, current visual question answering (VQA) benchmarks often depend on open-ended questions, making accurate evaluation difficult due to the variability in natural language responses. To address thi…