Update README.md

README.md

@@ -1,3 +1,44 @@
----
-license: apache-2.0
----
+---
+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
+You are required to navigate the web. To accomplish the task, use methods in Agent class to generate actions, with the following functions.
+type(characters: str): Type a string via the keyboard. click_xpath(xpath: str): Click an HTML element with a valid XPath. press(key_type: str): Press a key on the keyboard (enter, space, arrowleft, arrowright, backspace, arrowup, arrowdown, command+a, command+c, command+v). click_option(xpath: str): Click an option HTML element in a list with a valid XPath. movemouse(xpath: str): Move the mouse cursor on an HTML element with a valid XPath.
+The observation is: <observation>
+The action 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},
+}
+```
+