List the original paper and XQDT BibTeX entries on the model card

README.md

@@ -42,4 +42,50 @@ The [base T5-large model](https://huggingface.co/google-t5/t5-large) is distribu
 
 ## Citation
 
-Please cite [Dognin et al. (2021)](https://arxiv.org/abs/2108.12472) for ReGen and Efimov-Zhang et al. (2026) for this reproduction. [BibTeX entries](https://github.com/guihuzhang/bt5-regen-reproduction#citation).
+Original ReGen model: [Dognin et al. (2021)](https://arxiv.org/abs/2108.12472).
+
+```bibtex
+@inproceedings{dognin-etal-2021-regen,
+    title = "{R}e{G}en: {R}einforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models",
+    author = "Dognin, Pierre  and
+      Padhi, Inkit  and
+      Melnyk, Igor  and
+      Das, Payel",
+    editor = "Moens, Marie-Francine  and
+      Huang, Xuanjing  and
+      Specia, Lucia  and
+      Yih, Scott Wen-tau",
+    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
+    month = nov,
+    year = "2021",
+    address = "Online and Punta Cana, Dominican Republic",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.emnlp-main.83/",
+    doi = "10.18653/v1/2021.emnlp-main.83",
+    pages = "1084--1099"
+}
+```
+
+This checkpoint and reproduction code: [Efimov-Zhang et al. (2026)](https://aclanthology.org/2026.emnlp-main.397/).
+
+```bibtex
+@inproceedings{efimov-zhang-etal-2026-xqdt,
+    title = "{XQDT}: e{X}plainable and Quantitative Data-Text Alignment Metric with Feedback Signals",
+    author = "Efimov-Zhang, Kun  and
+      Song, Yifei  and
+      Gardent, Claire",
+    editor = "Lee, Hung-Yi  and
+      Dev, Sunipa  and
+      Li, Jessy  and
+      Elliott, Desmond",
+    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
+    month = oct,
+    year = "2026",
+    address = "Budapest, Hungary",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2026.emnlp-main.397/",
+    doi = "10.18653/2026.emnlp-main.397",
+    pages = "9121--9157",
+    ISBN = "979-8-89176-459-0"
+}
+```