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README.md
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WebGen-Agent combines state-of-the-art language models with specialized training techniques to create a powerful website generation tool. The agent can understand natural language instructions specifying appearance and functional requirements, iteratively generate website codebases, and refine them using visual and functional feedback.
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## Resources
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Links to the data and model parameters are as follows:
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- A GUI-agent tests the website functionality and provides functional feedback
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4. **Refinement**: Based on the feedback, the agent continues to improve the website until it meets requirements
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- **Iterative Refinement**: Continuously improves website appearance and functionality
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- **Feedback Integration**: Uses both visual and functional feedback for enhanced performance
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- **Backtracking Mechanism**: Reverts to previous states when encountering persistent errors
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- **Best Step Selection**: Selects the optimal version based on screenshot and GUI-agent scores
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## Step-GRPO with Screenshot and GUI-agent Feedback
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These dual rewards provide dense, reliable process supervision that significantly improves the model's ability to generate high-quality websites.
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## Citation
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If you find our project useful, please cite:
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WebGen-Agent combines state-of-the-art language models with specialized training techniques to create a powerful website generation tool. The agent can understand natural language instructions specifying appearance and functional requirements, iteratively generate website codebases, and refine them using visual and functional feedback.
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## Resources
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Links to the data and model parameters are as follows:
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- A GUI-agent tests the website functionality and provides functional feedback
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4. **Refinement**: Based on the feedback, the agent continues to improve the website until it meets requirements
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## Step-GRPO with Screenshot and GUI-agent Feedback
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These dual rewards provide dense, reliable process supervision that significantly improves the model's ability to generate high-quality websites.
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## Citation
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If you find our project useful, please cite:
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