Update README.md

README.md

@@ -22,7 +22,7 @@ This model has been trained for the **WSD** task over the entire training datase
 1) **Open-ended questions**, where the model will generate the definition of the target word; 
 2) **Closed-ended questions**, where the model will generate the identifier of the correct option out of a list of alternatives.
 
-More details regarding the training procedure (e.g. hyperparameters, dataset construction, and so on) can be found in Section 4.2 of the [paper].
+More details regarding the training procedure (e.g. hyperparameters, dataset construction, and so on) can be found in Section 4.2 of the [paper](https://arxiv.org/abs/2503.08662).
 
 - **Developed by:** Pierpaolo Basile, Lucia Siciliani, Elio Musacchio
 - **Model type:** LLaMA 3.1 Instruct
@@ -150,7 +150,15 @@ print(tokenizer.decode(outputs[0][input_ids.shape[-1]:], skip_special_tokens=Tru
 If you use this model in your research, please cite the following:
 
 ```bibtex
-TBD
+@misc{basile2025exploringwordsensedisambiguation,
+      title={Exploring the Word Sense Disambiguation Capabilities of Large Language Models}, 
+      author={Pierpaolo Basile and Lucia Siciliani and Elio Musacchio and Giovanni Semeraro},
+      year={2025},
+      eprint={2503.08662},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2503.08662}, 
+}
 ```
 
 ## Instructions