Update README.md

README.md

@@ -21,3 +21,29 @@ It is trained similarly to the NLI model described in the [TRUE paper (Honovich
 - VitaminC ([Schuster et al., 2021](https://arxiv.org/pdf/2103.08541.pdf))
 
 The input format for the model is: "premise: PREMISE_TEXT hypothesis: HYPOTHESIS_TEXT".
+
+If you use this model for a research publication, please cite the TRUE paper (using the bibtex entry below) and the dataset papers mentioned above.
+
+```
+@inproceedings{honovich-etal-2022-true-evaluating,
+    title = "{TRUE}: Re-evaluating Factual Consistency Evaluation",
+    author = "Honovich, Or  and
+      Aharoni, Roee  and
+      Herzig, Jonathan  and
+      Taitelbaum, Hagai  and
+      Kukliansy, Doron  and
+      Cohen, Vered  and
+      Scialom, Thomas  and
+      Szpektor, Idan  and
+      Hassidim, Avinatan  and
+      Matias, Yossi",
+    booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
+    month = jul,
+    year = "2022",
+    address = "Seattle, United States",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.naacl-main.287",
+    doi = "10.18653/v1/2022.naacl-main.287",
+    pages = "3905--3920",
+}
+```