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README.md

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 ### Model Overview
 
-The Nemotron-4-340B-Reward is a multi-dimensional Reward Model that can be used as part of a synthetic data generation pipeline to create training data that helps researchers and developers build their own LLMs; Nemotron-4-340B-Reward consists of the Nemotron-4-340B-Base model and a linear layer that converts the final layer representation of the end-of-response token into five scalar values, each corresponding to a [HelpSteer](https://arxiv.org/abs/2311.09528) attribute. 
+The Nemotron-4-340B-Reward is a multi-dimensional Reward Model that can be used as part of a synthetic data generation pipeline to create training data that helps researchers and developers build their own LLMs; Nemotron-4-340B-Reward consists of the Nemotron-4-340B-Base model and a linear layer that converts the final layer representation of the end-of-response token into five scalar values, each corresponding to a [HelpSteer2](https://arxiv.org/abs/2406.08673) attribute. 
 
 Given a conversation with multiple turns between user and assistant, it rates the following attributes (typically between 0 and 4) for every assistant turn.