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  # IRouterLM: Adaptive Query Routing for Multimodal RAG
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  <p align="center">
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- <a href="https://github.com/ananoymous/sigir26">Paper</a> •
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  <a href="https://github.com/ananoymous/sigir26">GitHub</a> •
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- <a href="https://huggingface.co/datasets/ananoymous/irouterlm-training-data">Training Data</a>
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  </p>
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  > A lightweight query-aware router that dynamically selects the optimal retrieval modality and architecture per query. IRouterLM achieves **state-of-the-art accuracy (0.76 nDCG@5)** while reducing latency by **90%** compared to the strongest baseline.
 
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  # IRouterLM: Adaptive Query Routing for Multimodal RAG
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  <p align="center">
 
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  <a href="https://github.com/ananoymous/sigir26">GitHub</a> •
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+ <a href="https://hf.co/collections/ananoymous/irouterlm">Training Data</a>
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  </p>
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  > A lightweight query-aware router that dynamically selects the optimal retrieval modality and architecture per query. IRouterLM achieves **state-of-the-art accuracy (0.76 nDCG@5)** while reducing latency by **90%** compared to the strongest baseline.