OpenEQA

OpenEQA is a dataset/benchmark used to evaluate models on their ability to perform explicit reasoning in Video Question Answering tasks by assessing their performance on multi-step reasoning involving spatial, temporal, and linguistic cues.

Papers using OpenEQA (6)

Cov: Chain-of-view Prompting For Spatial Reasoning2026Upstreamqa: A Modular Framework For Explicit Reasoning On Video Question Answering Tasks2026Prune-Then-Plan: Step-Level Calibration for Stable Frontier Exploration in Embodied Question Answering2025EQA-RM: A Generative Embodied Reward Model With Test-time Scaling2025Vl-kng: Persistent Spatiotemporal Knowledge Graphs From Egocentric Video For Embodied Scene Understanding2025Bridgeeqa: Virtual Embodied Agents For Real Bridge Inspections2025