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Open-o3-Video-v2 enhances video reasoning with active evidence grounding

Researchers have introduced Open-o3-Video-v2, an advanced agentic system designed for verifiable video reasoning. This model actively seeks and grounds supporting visual evidence, including timestamps and object-level bounding boxes, within its reasoning process. To facilitate this, new datasets like STGR-v2-CoT135K and STGR-v2-RL-13K have been created, alongside a novel tracking algorithm called Clue-Seek GRPO (CS-GRPO). Open-o3-Video-v2-4B has demonstrated significant performance improvements on benchmarks such as V-STaR, outperforming its base model and showing gains in general video understanding and temporal grounding. AI

IMPACT Enhances video reasoning capabilities by integrating active evidence acquisition and object-level grounding.

RANK_REASON The item describes a new research paper detailing a novel video reasoning model and associated datasets and algorithms. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Open-o3-Video-v2 enhances video reasoning with active evidence grounding

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The item describes a new research paper detailing a novel video reasoning model and associated datasets and algorithms. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Open-o3-Video-v2: Seek, Ground, and Reason with Verifiable Spatio-Temporal Evidence

    Reliable video reasoning requires models to produce correct answers and expose supporting visual evidence. Open-o3-Video enables verifiable reasoning by embedding timestamps and object-level bounding boxes into reasoning traces, but is restricted to frames from an initial sparse …