File size: 978 Bytes
6e88fd0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
---
license: apache-2.0
---
## Interactive Evolution: A Neural-Symbolic Self-Training Framework for Large Language Models
Paper Link: https://arxiv.org/abs/2406.11736
Code Repo: https://github.com/xufangzhi/ENVISIONS
## 🔥 News
- 🔥🔥🔥 We make public the final checkpoints after self-training ! ! !
## Note
The self-training process is based on LLaMA2-Chat model serieses and powered by ENVISIONS. The work is still under review.
## Prompt for Zero-shot Evaluation
```markdown
Write Python code to solve the question.
The question is: <question>
The solution code is:
```
## Citation
If you find it helpful, please kindly cite the paper.
```
@misc{xu2024interactive,
title={Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models},
author={Fangzhi Xu and Qiushi Sun and Kanzhi Cheng and Jun Liu and Yu Qiao and Zhiyong Wu},
year={2024},
eprint={2406.11736},
archivePrefix={arXiv},
}
```
|