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license: apache-2.0 |
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## Interactive Evolution: A Neural-Symbolic Self-Training Framework for Large Language Models |
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Paper Link: https://arxiv.org/abs/2406.11736 |
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Code Repo: https://github.com/xufangzhi/ENVISIONS |
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## 🔥 News |
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- 🔥🔥🔥 We make public the final checkpoints after self-training ! ! ! |
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## Note |
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The self-training process is based on LLaMA2-Chat model serieses and powered by ENVISIONS. The work is still under review. |
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## Prompt for Zero-shot Evaluation |
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```markdown |
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You are required to navigate the web. To accomplish the task, use methods in Agent class to generate actions, with the following functions. |
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type(characters: str): Type a string via the keyboard. |
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click_xpath(xpath: str): Click an HTML element with a valid XPath. |
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press(key_type: str): Press a key on the keyboard (enter, space, arrowleft, arrowright, backspace, arrowup, arrowdown, command+a, command+c, command+v). |
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click_option(xpath: str): Click an option HTML element in a list with a valid XPath. |
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movemouse(xpath: str): Move the mouse cursor on an HTML element with a valid XPath. |
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The observation is: <observation> |
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The action is: |
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``` |
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## Citation |
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If you find it helpful, please kindly cite the paper. |
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``` |
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@misc{xu2024interactive, |
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title={Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models}, |
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author={Fangzhi Xu and Qiushi Sun and Kanzhi Cheng and Jun Liu and Yu Qiao and Zhiyong Wu}, |
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year={2024}, |
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eprint={2406.11736}, |
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archivePrefix={arXiv}, |
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} |
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``` |
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