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arxiv: 2510.03215
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This is the neural router model used by the paper [R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing](https://huggingface.co/papers/2505.21600). This dataset contains token-level routing labels generated to train a lightweight router that selectively uses a Large Language Model (LLM) for critical, path-divergent tokens during inference, improving efficiency without sacrificing accuracy.
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Roads to Rome (R2R) is a neural token router that efficiently combines Large Language Models (LLMs) and Small Language Models (SLMs) by selectively routing only critical, reasoning-divergent tokens to the large model.
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Please visit our [GitHub repo](https://github.com/thu-nics/R2R) for more information.
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Project page: [https://fuvty.github.io/R2R_Project_Page/](https://fuvty.github.io/R2R_Project_Page/)
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arxiv: 2510.03215
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