File size: 978 Bytes
e5f7115
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2ba5fe1
 
 
 
 
 
 
 
 
 
e5f7115
 
 
 
 
 
 
 
 
 
 
 
 
 
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},
}
```