85 lines
2.4 KiB
Markdown
85 lines
2.4 KiB
Markdown
---
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license: apache-2.0
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language:
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- en
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tags:
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- long-video
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- video-understanding
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- video-qa
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- agent
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- qwen2.5
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- transformers
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- longtvqa
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pipeline_tag: text-generation
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base_model: Qwen/Qwen2.5-7B-Instruct
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library_name: transformers
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---
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# LongVideoAgent Qwen2.5-7B
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This repository hosts the released LLM checkpoint for **LongVideoAgent**, a multi-agent framework for long-video question answering. This model is a **Qwen2.5-7B-based checkpoint** used in the LongVideoAgent project.
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Project links:
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- Project page: https://longvideoagent.github.io/
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- Code: https://github.com/longvideoagent/LongVideoAgent
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- Paper: https://arxiv.org/abs/2512.20618
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## Overview
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LongVideoAgent decomposes long-video reasoning into multiple roles:
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- `MasterAgent` for planning and answer generation
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- `GroundingAgent` for subtitle-based temporal grounding
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- `VisionAgent` for local visual evidence extraction
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This checkpoint is intended for use with the official LongVideoAgent codebase and evaluation pipeline.
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## LongTVQA+ Performance
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Compared with the Qwen2.5-7B-Instruct baseline, this checkpoint improves LongTVQA+ accuracy by 6.66 percentage points.
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| Model | LongTVQA+ Acc | Delta |
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| --- | ---: | ---: |
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| Qwen2.5-7B-Instruct | 57.33% | - |
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| LongVideoAgent Qwen2.5-7B | 64.00% | +6.66% |
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## Intended Use
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Use this model for:
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- Research on long-video question answering
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- Reproducing LongVideoAgent experiments
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- Studying agentic reasoning over long videos
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This checkpoint is **not** a general-purpose video model by itself. For inference and evaluation, please use the official repository:
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- https://github.com/longvideoagent/LongVideoAgent
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## Usage
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Please follow the setup and inference instructions in the official repository and project documentation:
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- https://github.com/longvideoagent/LongVideoAgent
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- https://longvideoagent.github.io/
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If you use this checkpoint in your work, please also cite the LongVideoAgent paper below.
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## Citation
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```bibtex
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@misc{liu2025longvideoagentmultiagentreasoninglong,
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title={LongVideoAgent: Multi-Agent Reasoning with Long Videos},
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author={Runtao Liu and Ziyi Liu and Jiaqi Tang and Yue Ma and Renjie Pi and Jipeng Zhang and Qifeng Chen},
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year={2025},
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eprint={2512.20618},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/abs/2512.20618},
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}
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```
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## Acknowledgement
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This checkpoint is built for the LongVideoAgent project and is based on **Qwen2.5-7B-Instruct**.
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