Update README.md

README.md

@@ -4,10 +4,13 @@ language:
 - en
 ---
 
+
 # Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
-- Authors: Wahid Faisal, Mst Rafia Islam, Azmine Toushik Wasi
-- Affiliation: Shahjalal University of Science and Technology, Sylhet, Bangladesh; Independent University, Bangladesh
+- Authors: Azmine Toushik Wasi, Wahid Faisal, Mst Rafia Islam, Mahathir M Bappy
+- arXiv : https://arxiv.org/abs/2410.17210
 - The `GPT2-UKIL-EN` model is freely available in Hugging Face with DOI: [**10.57967/hf/3233**](https://doi.org/10.57967/hf/3233) with `ciol-research/GPT2-UKILv1`.
+- The `UKIL-DB-EN` dataset is freely available in Hugging Face with DOI: [**10.57967/hf/3235**](https://doi.org/10.57967/hf/3235) with `ciol-research/UKIL-DB-EN`.
+
 ---
 
 **Abstract:** Bangladesh's legal system struggles with major challenges like delays, complexity, high costs, and millions of unresolved cases, which deter many from pursuing legal action due to lack of knowledge or financial constraints. This research seeks to develop a specialized Large Language Model (LLM) to assist in the Bangladeshi legal system.
@@ -21,10 +24,13 @@ Our work represents the first structured effort toward building an AI-based lega
 
 #### **Cite as**:
 ```
-@misc{rafia2024ukil,
+@misc{wasi2024exploringpossibilitiesaipoweredlegal,
       title={Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling}, 
-      author={Wahid Faisal and Mst Rafia Islam and Azmine Toushik Wasi},
+      author={Azmine Toushik Wasi and Wahid Faisal and Mst Rafia Islam and Mahathir Mohammad Bappy},
       year={2024},
-      url={https://github.com/ciol-researchlab/UKIL}, 
+      eprint={2410.17210},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2410.17210}, 
 }
 ```