Repo

Video-ChatGPT

Answers questions and holds conversations about videos by combining language generation with spatiotemporal video understanding. Includes training and eval tooling.

GitHub ↗Jul 21, 2026Paper ↗

  • multimodal
  • video-qa
  • instruction-tuning
  • benchmarking
Multiple video QA examples showing model's outputs, demonstrating the work's capabilities
Multiple video QA examples showing model's outputs, demonstrating the work's capabilities

What it is

Video conversation model for detailed QA and dialogue over videos, plus a benchmark and 100K instruction dataset for evaluating video-chat systems. Generate multi-turn conversations and answers about uploaded videos using an LLM paired with spatiotemporal video features, with released training data and evaluation scripts.

Key results

  • Releases 100K video-instruction pairs for training
  • Best zero-shot QA: 64.9 MSVD-QA, 49.3 MSRVTT-QA, 51.4 TGIF-QA
  • Adds quantitative benchmarking over correctness, detail, context, time, consistency

Shows that instruction-tuned LVLMs can be extended from images to useful video conversation with measurable gains.

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