Update README.md

README.md

@@ -80,4 +80,23 @@ tokenizer = AutoTokenizer.from_pretrained("microsoft/graphcodebert-base")
 # 3. Initialize the classification model and load weights
 model = GraphCodeBERTForClassification(base_model)
 model.load_state_dict(torch.load("Detect_AI.pth", map_location=torch.device('cpu')))
-model.eval()kenizer = AutoTokenizer.from_pretrained("microsoft/graphcodebert-base"
+model.eval()kenizer = AutoTokenizer.from_pretrained("microsoft/graphcodebert-base"
+```
+
+## 📚 Citation
+
+If you use this code or system in your research, please cite our paper:
+
+```bibtex
+@conference{icaart26,
+  author={Pachanitha Saeheng and Napat Boongaree and Chutweeraya Sriwilailak and Chaiyong Ragkhitwetsagul and Teeradaj Racharak and Ekapol Chuangsuwanich},
+  title={NPC: Automated Tool for Detecting and Explaining ChatGPT-Generated Programs},
+  booktitle={Proceedings of the 18th International Conference on Agents and Artificial Intelligence - Volume 5: ICAART},
+  year={2026},
+  pages={4714-4719},
+  publisher={SciTePress},
+  organization={INSTICC},
+  doi={10.5220/0014485500004052},
+  isbn={978-989-758-796-2},
+  issn={2184-433X},
+}