Update README.md

README.md

@@ -83,27 +83,3 @@ tokenizer = AutoTokenizer.from_pretrained('microsoft/deberta-v3-large')
 - **Audio**: COVAREP features (74-dim, 500 timesteps)
 - **Video**: OpenFace features (35-dim, 500 timesteps)
 
-## Citation
-
-If you use this model, please cite:
-
-```bibtex
-@misc{iknow2024mosei,
-  title={Multimodal Sentiment Analysis with DeBERTa and Cross-Modal Attention},
-  author={iKnow Lab},
-  year={2024},
-  publisher={Hugging Face}
-}
-```
-
-## Acknowledgements
-
-This work was supported by IITP (Institute of Information & Communications Technology Planning & Evaluation) grant funded by the Korea government (MSIT).
-
-- Project: 사람중심인공지능핵심원천기술개발
-- Task: 복잡한 인과 관계 이해를 위한 옴니 데이터 기반 귀추적 추론 프레임워크
-- Grant Number: RS-2022-II220680
-
-## License
-
-This model is released under the MIT License.