Image-Text-to-Text
Transformers
Safetensors
qwen2
text-generation
conversational
text-generation-inference
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@@ -60,6 +60,16 @@ These dual rewards provide dense, reliable process supervision that significantl
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  If you find our project useful, please cite:
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  ```
 
 
 
 
 
 
 
 
 
 
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  @misc{lu2025webgenbenchevaluatingllmsgenerating,
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  title={WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch},
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  author={Zimu Lu and Yunqiao Yang and Houxing Ren and Haotian Hou and Han Xiao and Ke Wang and Weikang Shi and Aojun Zhou and Mingjie Zhan and Hongsheng Li},
 
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  If you find our project useful, please cite:
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  ```
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+ @misc{lu2025webgenagentenhancinginteractivewebsite,
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+ title={WebGen-Agent: Enhancing Interactive Website Generation with Multi-Level Feedback and Step-Level Reinforcement Learning},
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+ author={Zimu Lu and Houxing Ren and Yunqiao Yang and Ke Wang and Zhuofan Zong and Junting Pan and Mingjie Zhan and Hongsheng Li},
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+ year={2025},
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+ eprint={2509.22644},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2509.22644},
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+ }
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+
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  @misc{lu2025webgenbenchevaluatingllmsgenerating,
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  title={WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch},
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  author={Zimu Lu and Yunqiao Yang and Houxing Ren and Haotian Hou and Han Xiao and Ke Wang and Weikang Shi and Aojun Zhou and Mingjie Zhan and Hongsheng Li},