diff --git a/README.md b/README.md
index a097c51..6c47fb0 100644
--- a/README.md
+++ b/README.md
@@ -12,14 +12,14 @@ Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art
 It was introduced in Dense Passage Retrieval for Open-Domain Question Answering by Vladimir Karpukhin,
 Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih[1].
 
-**DPR** models were proposed in “[Dense Passage Retrieval for Open-Domain Question Answering][2].
+**DPR** models were proposed in "Dense Passage Retrieval for Open-Domain Question Answering"[2].
 
 In this work, we show that retrieval can be practically implemented using dense representations alone,
 where embeddings are learned from a small number of questions and passages by a simple dual-encoder framework[2].
 
 ## Reference
 
-[1].https://huggingface.co/docs/transformers/v4.16.2/en/model_doc/longformer#transformers.LongformerConfig
+[1].https://huggingface.co/docs/transformers/model_doc/dpr
 
 [2].https://arxiv.org/abs/2004.04906