Improve model card: Add Acknowledgement and Citation sections

This PR enhances the model card for Lite-Whisper large-v3 by incorporating the "Acknowledgement" and "Citation" sections. These sections were found in the project's GitHub README and provide essential context and attribution for the LiteASR model.

No other changes were deemed necessary as the existing metadata, paper link, GitHub link, and sample usage are already accurate and complete according to the provided information.

README.md

@@ -67,4 +67,26 @@ Following is the average word error rate (WER) evaluated on the [ESB datasets](h
 | [lite-whisper-large-v3-turbo](https://huggingface.co/efficient-speech/lite-whisper-large-v3-turbo) | 12.6 | 374M | 172M |
 | [lite-whisper-large-v3-turbo-fast](https://huggingface.co/efficient-speech/lite-whisper-large-v3-turbo-fast) | 20.1 | 313M | 172M |
 |   |   |   |   |
-| [whisper-medium](https://huggingface.co/openai/whisper-medium) | 14.8 | 306M | 457M |
+| [whisper-medium](https://huggingface.co/openai/whisper-medium) | 14.8 | 306M | 457M |
+
+## Acknowledgement
+
+- [OpenAI Whisper](https://github.com/openai/whisper)
+- [MLX Whisper](https://github.com/ml-explore/mlx-examples/tree/main/whisper)
+- [ASR Leaderboard](https://github.com/huggingface/open_asr_leaderboard)
+
+## Citation
+
+If you use LiteASR in your research, please cite the following paper:
+
+```
+@misc{kamahori2025liteasrefficientautomaticspeech,
+      title={LiteASR: Efficient Automatic Speech Recognition and Low-Rank Approximation}, 
+      author={Keisuke Kamahori and Jungo Kasai and Noriyuki Kojima and Baris Kasikci},
+      year={2025},
+      eprint={2502.20583},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG},
+      url={https://arxiv.org/abs/2502.20583}, 
+}
+```