dynamic-multi-reward-weighting

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dynamic-multi-reward-weighting

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Karin de Langis's EMNLP 2024 paper on "Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation"

dynamic-multi-reward-weighting 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
This repository provides code of the following paper:

> [Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation]([https://arxiv.org/abs/2305.19344](https://arxiv.org/abs/2402.14146)) <br>
> [Karin de Langis](https://karinjd.github.io/), [Ryan Koo](https://kooryan.netlify.app/), [Dongyeop Kang](https://dykang.github.io/) <br>
> [EMNLP 2024]([https://2023.aclweb.org/](https://2024.emnlp.org/)) (main track, long paper) <br>

## Installation
The following command installs all necessary packages:
```
pip install -r requirements.txt
```

TBW

## Citation
If you find this work useful for your research, please cite our papers:

```
@article{delangis2024dynamic,
  title={Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation},
  author={de Langis, Karin and Koo, Ryan and Kang, Dongyeop},
  journal={The Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year={2024}
}
```

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