Update README.md

README.md

@@ -25,7 +25,7 @@ Bonito is an open-source model for conditional task generation: the task of conv
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 Bonito can be used to create synthetic instruction tuning datasets to adapt large language models on users' specialized, private data.
-In our [paper](https://github.com/BatsResearch/bonito), we show that Bonito can be used to adapt both pretrained and instruction tuned models to tasks without any annotations.
+In our [paper](https://arxiv.org/abs/2402.18334), we show that Bonito can be used to adapt both pretrained and instruction tuned models to tasks without any annotations.
 
 - **Developed by:** Nihal V. Nayak, Yiyang Nan, Avi Trost, and Stephen H. Bach
 - **Model type:** MistralForCausalLM
@@ -38,7 +38,8 @@ In our [paper](https://github.com/BatsResearch/bonito), we show that Bonito can
 <!-- Provide the basic links for the model. -->
 
 - **Repository:** [https://github.com/BatsResearch/bonito](https://github.com/BatsResearch/bonito)
-- **Paper:** Arxiv link
+- **Paper:** [Learning to Generate Instruction Tuning Datasets for
+Zero-Shot Task Adaptation](https://arxiv.org/abs/2402.18334)
 
 ## Uses