Update README.md

README.md

@@ -3,7 +3,7 @@ license: cc-by-sa-4.0
 language:
 - en
 library_name: transformers
-pipeline_tag: text2text-generation
+pipeline_tag: text-generation
 tags:
 - text-generation-inference
 base_model:
@@ -22,7 +22,7 @@ You will need to login with your hugginface token (```[HF-TOKEN]```, in the foll
 ### Model Description
 This model is fine-tuned on Italian datasets of sense definitions. Given a target word and a usage example, the model generates a sense definition for the target word in-context.
 
-You can find more details in the paper [Automatically Generated Definitions and their utility for Modeling Word Meaning](https://aclanthology.org/2024.emnlp-main.776/) by Francesco Periti, David Alfter, Nina Tahmasebi.
+You can find more details in the paper [Definition Generation for Word Meaning Modeling: Monolingual, Multilingual, and Cross-Lingual Perspectives]() by Francesco Periti, Roksana Goworek, Haim Dubossarsky, Nina Tahmasebi.
 The repository of our project is [https://github.com/FrancescoPeriti/DefGen-adapters](https://github.com/FrancescoPeriti/DefGen-adapters).
 
 ## Uses
@@ -211,5 +211,6 @@ Francesco Periti, Roksana Goworek, Haim Dubossarsky, and Nina Tahmasebi. 2025. [
     year = "2025",
     address = "Suzhou, China",
     publisher = "Association for Computational Linguistics",
+    note = {{TO APPEAR; reach out for more information}}}
 }
 ```