shadow-llm/robot-dog-skills

ShadowPEFT Dataset

This repository contains the dataset used in the paper ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning.

ShadowPEFT is a centralized parameter-efficient fine-tuning (PEFT) framework that performs layer-level refinement through a depth-shared shadow module. This dataset includes dialogue samples used for tasks such as robot intent generation to evaluate the effectiveness of the ShadowPEFT framework across different configurations.

• Paper: https://huggingface.co/papers/2604.19254
• Repository: https://github.com/ShadowLLM/shadow-peft

Cite it

@article{li2026shadowpeft,
      title={ShadowPEFT: Shadow Network for Parameter-Efficient Fine-Tuning}, 
      author={Xianming Li and Zongxi Li and Tsz-fung Andrew Lee and Jing Li and Haoran Xie and Qing Li},
      year={2026},
      eprint={2604.19254},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2604.19254}, 
}