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  WebThinker-R1-7B is part of the WebThinker series that enables large reasoning models to autonomously search, explore web pages, and draft research reports within their thinking process. This 7B parameter model provides deep research capabilities through:
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- - **Autonomous Web Exploration**: Conducts web searches and navigates pages to gather information while maintaining reasoning coherence
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- - **Think-Search-and-Draft**: Integrates knowledge seeking with content creation for comprehensive report generation
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- - **End-to-End Reasoning**: Performs actions on its own during thinking, requiring no predefined agent workflow
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  ## Related Models
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  WebThinker-R1-7B is part of the WebThinker series that enables large reasoning models to autonomously search, explore web pages, and draft research reports within their thinking process. This 7B parameter model provides deep research capabilities through:
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+ - **Deep Web Explorer**: Enables autonomous web searches and page navigation by clicking interactive elements to extract relevant information while maintaining reasoning coherence
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+ - **Autonomous Think-Search-and-Draft**: Integrates real-time knowledge seeking with content creation, allowing the model to draft sections as information is gathered
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+ - **RL-based Training**: Leverages iterative online DPO training with preference pairs constructed from reasoning trajectories to optimize end-to-end performance
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  ## Related Models
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