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

arXiv:2606.24797v2 Announce Type: replace-cross Abstract: Recent advances in Video Large Language Models (Video-LLMs) have yielded promising performance on Video Question Answering (VideoQA). Nevertheless, existing benchmarks are predominantly evaluated throug