Update README.md

README.md

@@ -13,11 +13,9 @@ inference:
 widget:
   - text: >-
       Generate a Japanese question for this passage: Transformer (machine learning model) A transformer is a deep learning model that adopts the mechanism of self-attention, differentially weighting the significance of each part of the input (which includes the recursive output) data.
-      example_title: Generate Japanese questions
     
   - text: >-
       Generate a Arabic question for this passage: Transformer (machine learning model) A transformer is a deep learning model that adopts the mechanism of self-attention, differentially weighting the significance of each part of the input (which includes the recursive output) data.
-      example_title: Generate Arabic questions
 ---
 
 ## Model description
@@ -28,7 +26,7 @@ Used in paper [Bridging the Gap Between Indexing and Retrieval for
 Differentiable Search Index with Query Generation](https://arxiv.org/pdf/2206.10128.pdf)
 
 and [Augmenting Passage Representations with Query Generation
-for Enhanced Cross-Lingual Dense Retrieval]()
+for Enhanced Cross-Lingual Dense Retrieval](https://arxiv.org/pdf/2305.03950.pdf)
 
 ### How to use
 ```python