https://github.com/zwhe99/feedbackmt
Code of "Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model"
https://github.com/zwhe99/feedbackmt
Last synced: 7 months ago
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Code of "Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model"
- Host: GitHub
- URL: https://github.com/zwhe99/feedbackmt
- Owner: zwhe99
- Created: 2023-08-01T05:40:57.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-28T04:57:07.000Z (12 months ago)
- Last Synced: 2024-06-28T05:48:55.104Z (12 months ago)
- Language: Python
- Homepage: https://arxiv.org/abs/2401.12873
- Size: 8.46 MB
- Stars: 18
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# FeedbackMT
Code of _[Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model](https://arxiv.org/abs/2401.12873)_
### Environment
```shell
conda create -n feedbackmt python=3.10.0
conda activate feedbackmt
cd src/LMFlow
pip3 install -e .
cd ../../
pip3 install -r requirements.txt
conda install mpi4py
```
### Data
Download from [Google drive](https://drive.google.com/file/d/1eF6fQKaKl-PcWrV9arYbGyOvRGZrThNb/view?usp=sharing).
```shell
unzip data.zip
```
### Training
See `training_scripts`.
### Inference
```shell
python3 src/inference_sft.py \
--model-name-or-path \
--inst-file data/instruct_follow.txt \
--lang-pair en-zh \
--input-file \
--output-file \
--search-algorithm beam \
--batch 2 \
--seed 0 \
--model-type s2s \ # --model-type s2s for NLLB; --model-type causal for LLAMA-2
--beam 4
```
### Critical code
```shell
src/LMFlow/src/lmflow/pipeline/raft_aligner.py # RAFT/RAFT+ for LLAMA2
src/LMFlow/src/lmflow/pipeline/raft_aligner_t2t.py # RAFT/RAFT+ for NLLB
src/LMFlow/src/lmflow/pipeline/mrt_aligner_t2t.py # MRT/MRT+ for NLLB
```
### Citation
```ruby
@inproceedings{he2024improving,
title = "Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model",
author={Zhiwei He, Xing Wang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang, Shuming Shi, Zhaopeng Tu},
booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
year = "2024",
url = "https://aclanthology.org/2024.naacl-long.451",
}
```
### Acknowledgement
* [OptimalScale/LMFlow](https://github.com/OptimalScale/LMFlow): The RAFT implementation is based on `LMFlow`.
* [wxjiao/ParroT](https://github.com/wxjiao/ParroT): Training and inference scripts are based on `ParroT`