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README.md

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+pipeline_tag: text-generation
+library_name: transformers
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+# DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
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+This model, DeepResearcher-7b, is presented in the paper [DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments](https://huggingface.co/papers/2504.03160).
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+DeepResearcher is the first comprehensive framework for end-to-end training of LLM-based deep research agents through scaling reinforcement learning (RL) in real-world environments with authentic web search interactions. Qualitative analysis reveals emergent cognitive behaviors from end-to-end RL training, including the ability to formulate plans, cross-validate information, engage in self-reflection, and maintain honesty when unable to find definitive answers.  Experiments on open-domain research tasks demonstrate substantial improvements over prompt engineering and RAG-based RL agents.
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+Code: https://github.com/GAIR-NLP/DeepResearcher