Update README.md

README.md

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 Llama-3.1-8B-Instruct-RM-RB2 is one of 7 sets of reward models (RMs) released with Reward Bench 2.
 We have released a large set of 70 total reward model checkpoints that we used to develop the benchmark and correlate it with downstream PPO / Best-of-N performance.
 
-[Models](https://huggingface.co/collections/allenai/reward-bench-2-683d2612a4b3e38a3e53bb51) | [Code](https://github.com/allenai/reward-bench) |  [Eval. Dataset v2](https://huggingface.co/datasets/allenai/reward-bench-2) | [Results v2](https://huggingface.co/datasets/allenai/reward-bench-2-results) | [Paper](https://github.com/allenai/reward-bench/blob/main/paper-v2.pdf)
+[Models](https://huggingface.co/collections/allenai/reward-bench-2-683d2612a4b3e38a3e53bb51) | [Code](https://github.com/allenai/reward-bench) |  [Eval. Dataset v2](https://huggingface.co/datasets/allenai/reward-bench-2) | [Results v2](https://huggingface.co/datasets/allenai/reward-bench-2-results) | [Paper](https://arxiv.org/abs/2506.01937)
 
 
 ## Model Details