Add paper link

app.py

@@ -123,7 +123,7 @@ output_knowful_answer = gr.Textbox(label='QA model answer with knowledge:', inte
 output_all_knowledges = gr.Textbox(label='All generated knowledges:', interactive=False)
 output_selected_knowledge = gr.Textbox(label='Knowledge selected to make the prediction:', interactive=False)
 
-description = '''This is a demo for the paper, [*Crystal: Introspective Reasoners Reinforced with Self-Feedback*](), presented at EMNLP 2023. [[Code](https://github.com/liujch1998/crystal)] [[Model](https://huggingface.co/liujch1998/crystal-large)] This demo is made & maintained by [Jiacheng (Gary) Liu](https://liujch1998.github.io).
+description = '''This is a demo for the paper, [*Crystal: Introspective Reasoners Reinforced with Self-Feedback*](https://arxiv.org/abs/2310.04921), presented at EMNLP 2023. [[Code](https://github.com/liujch1998/crystal)] [[Model](https://huggingface.co/liujch1998/crystal-11b)] This demo is made & maintained by [Jiacheng (Gary) Liu](https://liujch1998.github.io).
 Crystal is an introspective reasoning model that answers commonsense questions by first generating knowledge and then use knowledge-grounded reasoning to reach a final prediction. To try this model, select an example question, or write your own commonsense question in the suggested format.'''
 
 gr.Interface(