Update README.md

README.md

@@ -18,5 +18,4 @@ National Interest Test Statement:
 
 Mathematical modelling has an important role in science, business, civic services, and government operations and is traditionally conducted by expert mathematicians. However, there is a shortage of trained expert mathematicians in Australia that has a direct impact on quality and timely mathematical modelling. Optimisation modelling is a prime example of mathematical modelling that has improved business processes by saving resources or increasing efficiency for optimal outcomes. This research will make it possible for non-mathematician users to develop models tailored to their requirements through interacting with a computer. Our prototype will assist non-experts in formulating optimisation models for a range of planning, scheduling, resource allocation, timetabling problems and will benefit businesses and not-for-profit organisations. In doing so, this project will utilise a natural language processing-based agent with knowledge bases and Artificial Intelligence solutions to deliver economic and societal benefits according to Australia’s Tech Future report 2018.
 
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-![link/url](https://arxiv.org/abs/2311.15271)
+Synthesizing mixed-integer linear programming models from natural language descriptions - Qingyang Li, Lele Zhang, Vicky Mak-Hau ![link/url](https://arxiv.org/abs/2311.15271)