EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence

arXiv·medium signal

EG-VQA is a benchmark for verifiable video question answering that requires models to ground answers in specific temporal evidence rather than guess, exposing where current Video-LLMs answer correctly for the wrong reasons. Useful for teams evaluating video-understanding models on faithfulness and not just accuracy.