update the paper link

README.md

@@ -5,7 +5,7 @@ This model is a 7B [Self-RAG](https://selfrag.github.io/) model that generates o
 
 Self-RAG is trained on our instruction-following corpora with interleaving passages and reflection tokens using the standard next-token prediction objective, enabling efficient and stable learning with fine-grained feedback.  
 At inference, we leverage reflection tokens covering diverse aspects of generations to sample the best output aligning users' preferences. 
-See full descriptions in See full descriptions in [our paper](hhttps://arxiv.org/abs/2310.11511). 
+See full descriptions in See full descriptions in [our paper](https://arxiv.org/abs/2310.11511). 
 
 ## Usage
 Here, we show an easy way to quickly download our model from HuggingFace and run with `vllm` with pre-given passages. Make sure to install dependencies listed at [self-rag/requirements.txt](https://github.com/AkariAsai/self-rag/requirements.txt).