nics-efc/R2R_Router_Training

This is the training and validation set used by the paper R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. 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. Roads to Rome (R2R) is a neural token router that efficiently combines Large Language Models (LLMs) and… See the full description on the dataset page: https://huggingface.co/datasets/nics-efc/R2R_Router_Tr

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