Update README.md

README.md

@@ -1044,6 +1044,27 @@ You can finetune this model on your own dataset.
 
 ### BibTeX
 
+If you use this model, benchmark, or training framework in your research, please cite the following works.
+
+---
+
+### TR-MTEB Benchmark
+
+```bibtex
+@inproceedings{baysan-gungor-2025-tr,
+  title = "{TR}-{MTEB}: A Comprehensive Benchmark and Embedding Model Suite for {T}urkish Sentence Representations",
+  author = "Baysan, Mehmet Selman and Gungor, Tunga",
+  booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
+  month = nov,
+  year = "2025",
+  address = "Suzhou, China",
+  publisher = "Association for Computational Linguistics",
+  url = "https://aclanthology.org/2025.findings-emnlp.471/",
+  doi = "10.18653/v1/2025.findings-emnlp.471",
+  pages = "8867--8887"
+}
+```
+
 #### Sentence Transformers and SoftmaxLoss
 ```bibtex
 @inproceedings{reimers-2019-sentence-bert,