Update README.md

README.md

@@ -1,8 +1,7 @@
 ---
-license: mit
+license: apache-2.0
 language:
-- "en"
-- "zh"
+- en
 pipeline_tag: text-generation
 inference: false
 fine-tuning: true
@@ -10,17 +9,19 @@ tags:
 - generative error correction
 - large language model
 - LLaMA
+metrics:
+- wer
 ---
 
 This repo releases the trained LLaMA-adapter weights in paper "Large Language Models are Efficient Learners of Noise-Robust Speech Recognition."
 
-If you consider this work would be related or useful for your research, please consider to cite the work in ICLR 2024. Thank you.
+If you consider this work would be related or useful for your research, please kindly consider to cite the work in ICLR 2024. Thank you.
 
 ```bib
-@article{hu2024large,
+@inproceedings{hu2024large,
   title={Large Language Models are Efficient Learners of Noise-Robust Speech Recognition},
-  author={Hu, Yuchen and Chen, Chen and Yang, Chao-Han Huck and Li, Ruizhe and Zhang, Chao and Chen, Pin-Yu and Chng, EnSiong},
-  journal={Proc. ICLR},
+  author={Hu, Yuchen and Chen, Chen and Yang, Chao-Han Huck and Li, Ruizhe and Zhang, Chao and Chen, Pin-Yu and Chng, Eng Siong},
+  booktitle={International Conference on Learning Representations},
   year={2024}
 }
-```
+```