Update README.md

README.md

@@ -1,26 +1,30 @@
 ---
-license: mit
+license: apache-2.0
 language_creators:
 - expert-generated
 task_categories:
 - text-generation
 tags:
-- code
+- generative error correction
+- large language model
+- LLaMA
 pretty_name: Robust HyPoradise
 size_categories:
 - 10M<n<100M
+language:
+- en
 ---
-# HypothesesParadise
 
-- This repo releases the Robust HyPoradise dataset in paper "Large Language Models are Efficient Learners of Noise-Robust Speech Recognition."
+# HypothesesParadise
+This repo releases the Robust HyPoradise dataset 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}
 }
 ```