Video QA

The 'Video QA' dataset/benchmark contains video clips paired with questions and answers, and it is used to evaluate the ability of models to understand and reason about visual content in videos.

Papers using Video QA (5)

Reinforcement Learning Tuning For Videollms: Reward Design And Data Efficiency2025HyperTokens: Controlling Token Dynamics for Continual Video-Language Understanding2026Reinforcing Structured Chain-of-Thought for Video Understanding2026MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention2025CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion2024 · 1 cites