Update README.md

README.md

@@ -29,7 +29,7 @@ LLaMA-30B-toolbench is a 30 billion parameter model used for api based action ge
 ### Basic Information
 
 <!-- Provide the basic links for the model. -->
-- **Paper**: [Link]
+- **Paper**: [Link](https://arxiv.org/abs/2305.16504)
 - **Github**: [link](https://github.com/sambanova/toolbench)
 
 
@@ -88,7 +88,7 @@ I have the following set of API:\n\n# To set the location for hotel search, give
 
 <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-The training data is curated for the 8 tasks in ToolBench. See Appendix A of the [paper](dummy link) for task details and Appendix C.1 for the training data curation details. In total, there are 9704 training samples, organized in all-shot format as described in Appendix C.2. Here is the [download link](https://drive.google.com/file/d/1lUatLGnSVhfy1uVIPEQ7qCoLtnCIXi2O/view?usp=sharing) to the training data.
+The training data is curated for the 8 tasks in ToolBench. See Appendix A of the [paper](https://arxiv.org/abs/2305.16504) for task details and Appendix C.1 for the training data curation details. In total, there are 9704 training samples, organized in all-shot format as described in Appendix C.2. Here is the [download link](https://drive.google.com/file/d/1lUatLGnSVhfy1uVIPEQ7qCoLtnCIXi2O/view?usp=sharing) to the training data.
 
 
 ### Training Procedure