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@@ -6,7 +6,7 @@ AgentIR-4B is a retriever specialized for Deep Research agents. Unlike conventio
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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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@@ -52,7 +52,7 @@ for doc, vec in zip(DOCS, docs):
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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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  ```