Update README.md

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
 ---
-
-# How to get started with the model
+FinRoberta is a specialised version of the Roberta Large Model designed for financial classification tasks. FinRoberta has been developed by finetuning the Roberta Large model on a vast corpus of Reuters and DPA news articles, SEC filings, followed by further finetuning on the [Headlines](https://www.kaggle.com/datasets/ankurzing/sentiment-analysis-for-financial-news) dataset to make it capable of handling classification tasks.
+## How to get started with the model
 
 Use the code below to get started with the model.
 ```python
@@ -11,4 +11,17 @@ from transformers import AutoTokenizer, RobertaForSequenceClassification
 tokenizer = AutoTokenizer.from_pretrained('roberta-large')
 
 model = RobertaForSequenceClassification.from_pretarined('Chaitanya14/finroberta')
+```
+## Citation
+If you use the FinBloom 7B LLM, please cite with the following BibTex entry:
+```
+@misc{sinha2025finbloomknowledgegroundinglarge,
+      title={FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data}, 
+      author={Ankur Sinha and Chaitanya Agarwal and Pekka Malo},
+      year={2025},
+      eprint={2502.18471},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR},
+      url={https://arxiv.org/abs/2502.18471}, 
+}
 ```