include citation

README.md

@@ -1 +1,14 @@
-This is an off-the-shelf roberta-large model finetuned on WANLI, the Worker-AI Collaborative NLI dataset ([Liu et al., 2022](https://arxiv.org/abs/2201.05955)). It outperforms the roberta-large-mnli model on seven out-of-domain test sets, including by 11% on HANS and 9% on Adversarial NLI.
+This is an off-the-shelf roberta-large model finetuned on WANLI, the Worker-AI Collaborative NLI dataset ([Liu et al., 2022](https://arxiv.org/abs/2201.05955)). It outperforms the `roberta-large-mnli` model on seven out-of-domain test sets, including by 11% on HANS and 9% on Adversarial NLI.
+
+```
+@misc{liu-etal-2022-wanli,
+    title = "WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation",
+    author = "Liu, Alisa  and
+      Swayamdipta, Swabha  and
+      Smith, Noah A.  and
+      Choi, Yejin",
+    month = jan,
+    year = "2022",
+    url = "https://arxiv.org/pdf/2201.05955",
+}
+```