DeepResearcher-7b
621
14
7.0B
1 language
license:apache-2.0
by
GAIR
Other
OTHER
7B params
New
621 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary
DeepResearcher is the first comprehensive framework for end-to-end training of LLM-based deep research agents through scaling reinforcement learning (RL) in rea...
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM
Code Examples
Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
}Resultstext
@misc{zheng2025deepresearcherscalingdeepresearch,
title={DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments},
author={Yuxiang Zheng and Dayuan Fu and Xiangkun Hu and Xiaojie Cai and Lyumanshan Ye and Pengrui Lu and Pengfei Liu},
year={2025},
eprint={2504.03160},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.03160},
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