Update README.md

README.md

@@ -11,7 +11,7 @@ tags:
 - token-classification
 ---
 
-This is the training and validation set 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.
+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.
 
 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.