added citation to model card

README.md

@@ -25,4 +25,23 @@ The model is based on T5-large and was trained on a randomly selected subset of
 | NQ100k       | [DSI-large-NQ100k](https://huggingface.co/AnReu/DSI-large-NQ100k)       |
 | NQ320k       | [DSI-large-NQ320k](https://huggingface.co/AnReu/DSI-large-NQ320k)       |
 | Trivia-QA    | [DSI-large-TriviaQA](https://huggingface.co/AnReu/DSI-large-TriviaQA)   |
-| Trivia-QA QG | [DSI-large-TriviaQ](https://huggingface.co/AnReu/DSI-large-TriviaQA-QG) |
+| Trivia-QA QG | [DSI-large-TriviaQA QG](https://huggingface.co/AnReu/DSI-large-TriviaQA-QG) |
+
+### Citation
+```
+@inproceedings{Reusch2025Reverse,
+  author = {Reusch, Anja and Belinkov, Yonatan},
+  title = {Reverse-Engineering the Retrieval Process in GenIR Models},
+  year = {2025},
+  isbn = {9798400715921},
+  publisher = {Association for Computing Machinery},
+  address = {New York, NY, USA},
+  url = {https://doi.org/10.1145/3726302.3730076},
+  doi = {10.1145/3726302.3730076},
+  booktitle = {Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval},
+  pages = {668–677},
+  numpages = {10},
+  location = {Padua, Italy},
+  series = {SIGIR '25}
+}
+```