Update README.md

README.md

@@ -43,6 +43,8 @@ The languages covered are: *Assamese (as)*, *Bengali (bn)*, *Bodo (brx)*, *Dogri
 
 Various rigorous analyses and human evaluations confirm the high quality of the dataset and demonstrate the effectiveness of the entity-anchored machine translation (EaMaTa) framework with up to 9\% increase in F1-score against the current state-of-the-art.
 
+**SampurNER Paper:** [SampurNER in AAAI-2026](https://ojs.aaai.org/index.php/AAAI/article/view/40405)
+
 [**Read the extended version**](https://github.com/PrachuryyaKaushik/SampurNER/blob/main/SampurNER_AAAI_extended.pdf)
 
 ## EaMaTa Framework overview
@@ -209,11 +211,16 @@ If you use this dataset, please cite the following papers:
 
 ```bibtex
 @inproceedings{kaushik2026sampurner,
-  title={SampurNER: Fine-grained Named Entity Recognition dataset for 22 Indian Languages},
-  author={Kaushik, Prachuryya and Anand, Ashish},
-  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
-  volume={40},
-  year={2026}
+      title={SampurNER: Fine-Grained Named Entity Recognition Dataset for 22 Indian Languages},
+      volume={40},
+      url={https://ojs.aaai.org/index.php/AAAI/article/view/40405},
+      DOI={10.1609/aaai.v40i37.40405},
+      number={37},
+      journal={Proceedings of the AAAI Conference on Artificial Intelligence},
+      author={Kaushik, Prachuryya and Anand, Ashish},
+      year={2026},
+      month={Mar.},
+      pages={31410-31418}
 }
 
 @misc{kaushik2026awedfineragentswebapplications,