AgentVidBench: A Multi-Hop Video Question Answering Benchmark for Evaluating MLLM Agents
Comprehensive video understanding is crucial for advancing artificial intelligence toward the intricate dynamics of the physical world. While recent advances in Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in video understanding, existing benchmarks remain confined to simple scene-...
Seoyeon An, Hyeonseo Jang, Minsu Kim et al.
· 0 citations