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@@ -10,7 +10,7 @@ pipeline_tag: any-to-any
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  # Recurrent Parameter Generation
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- ### [Paper]() | [Project Page](https://NUS-HPC-AI-Lab.github.io/Recurrent-Parameter-Generation/) | [Huggingface](https://huggingface.co/MTDoven/Recurrent-Parameter-Generation)
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  ## Abstract
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  CUDA_VISIBLE_DEVICES=0 sh demo.sh
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  # CUDA_VISIBLE_DEVICES=<GPU_index> sh demo.sh
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  ```
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- Here are some examples.
 
 
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  ```angular2html
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  description: "Give me a model to select all living things"
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  expected_class: [0,0,1,1,1,1,1,1,0,0] # bird, cat, deer, dog, frog, horse
@@ -124,6 +126,9 @@ expected_class: [0,0,0,0,0,0,0,0,1,0] # ship
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  description: "Select all animals that are both pets and can climb"
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  expected_class: [0,0,0,1,0,1,0,0,0,0] # cat, dog
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  ```
 
 
 
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  You can get more information from [Github](https://github.com/NUS-HPC-AI-Lab/Recurrent-Parameter-Generation).
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@@ -131,14 +136,13 @@ You can get more information from [Github](https://github.com/NUS-HPC-AI-Lab/Rec
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  ## Acknowledgment
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  We thank
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- [Zhiyuan Liang](https://jerryliang24.github.io/),
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- [Zhuang Liu](https://liuzhuang13.github.io/),
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- [Gongfan Fang](https://fangggf.github.io/),
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  [Zangwei Zheng](https://zhengzangw.github.io/),
 
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  [Tianlong Chen](https://tianlong-chen.github.io/),
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- [Zhangyang Wang](https://www.ece.utexas.edu/people/faculty/atlas-wang),
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- [Xuanlei Zhao](https://oahzxl.github.io/),
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- and [Ziheng Qin](https://henryqin1997.github.io/ziheng_qin/)
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  for valuable discussions and feedbacks.
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  This research is supported by the National Research Foundation,
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  Singapore under its AI Singapore Programme
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  year={2025},
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  }
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  ```
 
 
 
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  # Recurrent Parameter Generation
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+ ### [Paper]() | [Project Page](https://NUS-HPC-AI-Lab.github.io/Recurrent-Parameter-Generation/) | [Github](https://huggingface.co/MTDoven/Recurrent-Parameter-Generation)
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  ## Abstract
 
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  CUDA_VISIBLE_DEVICES=0 sh demo.sh
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  # CUDA_VISIBLE_DEVICES=<GPU_index> sh demo.sh
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  ```
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+ <details>
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+ <summary>Here are some examples.</summary>
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+
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  ```angular2html
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  description: "Give me a model to select all living things"
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  expected_class: [0,0,1,1,1,1,1,1,0,0] # bird, cat, deer, dog, frog, horse
 
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  description: "Select all animals that are both pets and can climb"
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  expected_class: [0,0,0,1,0,1,0,0,0,0] # cat, dog
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  ```
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+
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+ </details>
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+
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  You can get more information from [Github](https://github.com/NUS-HPC-AI-Lab/Recurrent-Parameter-Generation).
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  ## Acknowledgment
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  We thank
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+ [Zhiyuan Liang](https://jerryliang24.github.io/),
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+ [Gongfan Fang](https://fangggf.github.io/),
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+ [Xuanlei Zhao](https://oahzxl.github.io/),
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  [Zangwei Zheng](https://zhengzangw.github.io/),
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+ [Ziheng Qin](https://henryqin1997.github.io/ziheng_qin/),
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  [Tianlong Chen](https://tianlong-chen.github.io/),
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+ and [Zhangyang Wang](https://www.ece.utexas.edu/people/faculty/atlas-wang)
 
 
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  for valuable discussions and feedbacks.
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  This research is supported by the National Research Foundation,
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  Singapore under its AI Singapore Programme
 
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  year={2025},
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  }
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  ```
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+
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+ [//]: # ([Zhuang Liu]&#40;https://liuzhuang13.github.io/&#41;,)