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README.md
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When employed for end-to-end Deep Research on BrowseComp-Plus, AgentIR brings substantial effectiveness and efficiency gains for agents, improving agent accuracy while reducing the number of problem-solving iterations.
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- Paper: https://arxiv.org/abs/2603.04384
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- Code: https://github.com/texttron/AgentIR
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- Data: https://huggingface.co/datasets/Tevatron/AgentIR-data
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- Project Page: https://texttron.github.io/AgentIR/
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print(f"{torch.dot(q, vec).item():.6f} {doc}")
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```
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To run end-to-end Deep Research with AgentIR-4B, please see https://github.com/texttron/AgentIR.
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## Citation
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```
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When employed for end-to-end Deep Research on BrowseComp-Plus, AgentIR brings substantial effectiveness and efficiency gains for agents, improving agent accuracy while reducing the number of problem-solving iterations.
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- Paper: https://arxiv.org/abs/2603.04384
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- Code: https://github.com/texttron/AgentIR/tree/main
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- Data: https://huggingface.co/datasets/Tevatron/AgentIR-data
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- Project Page: https://texttron.github.io/AgentIR/
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print(f"{torch.dot(q, vec).item():.6f} {doc}")
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```
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To run end-to-end Deep Research with AgentIR-4B, please see https://github.com/texttron/AgentIR/tree/main.
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## Citation
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```
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