Update README.md

README.md

@@ -4,8 +4,10 @@ tags:
 pipeline_tag: feature-extraction
 ---
 DRAGON+ is a BERT-base sized dense retriever initialized from [RetroMAE](https://huggingface.co/Shitao/RetroMAE) and further trained on the data augmented from MS MARCO corpus, following the approach described in [How to Train Your DRAGON:
-Diverse Augmentation Towards Generalizable Dense Retrieval](\url). The associated GitHub repository is available here https://github.com/facebookresearch/dpr-scale/tree/dragon. We use asymmetric dual encoder, with two distinctly parameterized encoders. 
-The following models are also available:
+Diverse Augmentation Towards Generalizable Dense Retrieval](https://arxiv.org/abs/2302.07452).
+
+The associated GitHub repository is available here https://github.com/facebookresearch/dpr-scale/tree/main/dragon. We use asymmetric dual encoder, with two distinctly parameterized encoders. 
+
 Model | Initialization | Query Encoder Path | Context Encoder Path
 |---|---|---|---
 DRAGON+ | Shitao/RetroMAE| facebook/dragon-plus-query-encoder | facebook/dragon-plus-context-encoder
@@ -35,4 +37,4 @@ ctx_emb = context_encoder(**ctx_input).last_hidden_state[:, 0, :]
 # Compute similarity scores using dot product
 score1 = query_emb @ ctx_emb[0]  # 396.5625
 score2 = query_emb @ ctx_emb[1]  # 393.8340
-```
+```