/INDust

This is the repository for INDust: Inductive Instructions for Large Language Models

Primary LanguagePython

Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting

Code License Data License

Opensource

We have reorganized INDust, aligning evidence with three types of inductive instructions and implementing stricter quality control measures.

  • INDust & LINDust.
  • Evaluation prompts and parameter settings are already presented in the paper.
  • Code of Finetuning LLMs on LINDust.

Citations

@online{Wang2023b,
  title = {Self-Critique Prompting with Large Language Models for Inductive Instructions},
  author = {Wang, Rui and Wang, Hongru and Mi, Fei and Chen, Yi and Xu, Ruifeng and Wong, Kam-Fai},
  doi = {10.48550/arXiv.2305.13733},
  url = {http://arxiv.org/abs/2305.13733},
  urldate = {2023-05-26},
  pubstate = {preprint}
}