Symbol-LLM/ENVISIONS_13B_logic_iter8

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

Generate the logical representation for the given context and question.
The context is: <context>
The question is: <question>
The logical representation 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},
}