Update README.md

README.md

@@ -11,6 +11,7 @@ language:
 - en
 metrics:
 - accuracy
+license: apache-2.0
 ---
 
 # Chayan: Multi-Model LLM Router
@@ -197,22 +198,18 @@ K-NN classifiers are sensitive to class imbalance. By applying calibration facto
 If you use Chayan in your research or applications, please cite:
 
 ```bibtex
-@software{chayan_router_2025,
-  title = {Chayan: Calibrated Multi-Model LLM Router},
-  author = {Adaptive Classifier Team},
+@software{adaptive_classifier,
+  title = {Adaptive Classifier: Dynamic Text Classification with Continuous Learning},
+  author = {Sharma, Asankhaya},
   year = {2025},
-  url = {https://huggingface.co/adaptive-classifier/chayan},
-  note = {High-performance LLM router achieving 69.05\% accuracy on RouterArena}
+  publisher = {GitHub},
+  url = {https://github.com/codelion/adaptive-classifier}
 }
 ```
 
-## License
-
-MIT License
-
 ## Links
 
 - **Model Repository**: https://huggingface.co/adaptive-classifier/chayan
 - **Library**: https://github.com/codelion/adaptive-classifier
 - **RouterArena**: https://routeworks.github.io/
-- **RouterArena Paper**: https://arxiv.org/abs/2510.00202
+- **RouterArena Paper**: https://arxiv.org/abs/2510.00202