Update README.md

README.md

@@ -6,10 +6,10 @@ 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 [our paper](hhttps://arxiv.org/abs/2310.11511). 
+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). 
+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/blob/main/requirementd.txt). 
 To run our full inference pipeline with a retrieval system and fine-grained tree decoding, please use [our code](https://github.com/AkariAsai/self-rag). 
 
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