Update README.md

README.md

@@ -1,3 +1,44 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen2.5-32B-Instruct
+---
+
+# AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials
+
+<div align="center">
+
+[\[🏠Homepage\]](https://agenttrek.github.io/) [\[💻Code\]](https://github.com/xlang-ai/AgentTrek) [\[📝Paper\]](https://arxiv.org/abs/2412.19723) [\[🤗Models\]](https://huggingface.co/collections/OS-Copilot/os-genesis-6768d4b6fffc431dbf624c2d)[\[🤗Data\]](https://huggingface.co/collections/ranpox/aguvis-unified-pure-vision-gui-agents-6764e2bc343c62af95c209d8)  
+
+</div>
+
+## Overview of Pipeline
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/669ca7e678115e16bdfc9bfc/ULRzaG6fLCdR7ThkPyKwg.png)
+
+AgentTrek is a cost-efficient and scalable framework that synthesizes high-quality agent trajectories by guiding replay with web tutorials. These collected trajectories significantly enhance agent performance.
+
+## Quick Start
+
+**AgentTrek-1.0-32B** is a web agent model finetuned from [Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct). 
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/669ca7e678115e16bdfc9bfc/ukO0l9VuqBoCUpiDceDCt.png)
+
+- For metrics, refers to [Browsergym Leaderboard](https://huggingface.co/spaces/ServiceNow/browsergym-leaderboard)
+- For evaluation, refers to [Evaluation Script](https://github.com/xlang-ai/AgentTrek)
+- For training dataset, refers to [Training Dataset]()
+
+## Citation
+```bibtex
+@article{xu2024agenttrek,
+  author    = {Yiheng Xu and Dunjie Lu and Zhennan Shen and Junli Wang and Zekun Wang and Yuchen Mao and Caiming Xiong and Tao Yu},
+  title     = {AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials},
+  year={2024},
+  eprint={2412.09605},
+  archivePrefix={arXiv},
+  primaryClass={cs.CL},
+  url={https://arxiv.org/abs/2412.09605}
+}
+```