metadata
license: mit
language:
- en
- zh
pipeline_tag: text-generation
inference: false
fine-tuning: true
tags:
- generative error correction
- large language model
- LLaMA
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.
@article{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},
year={2024}
}