Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability

This is the official release accompanying our Findings of EMNLP 2024 paper:

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability
Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung

Example Usage

python eval.py
--compression_model_path ttchungc/selection-p \
--target_model_path MODEL_PATH \
--dataset wsc

Citation

@article{chung2024selection,
  title={Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability},
  author={Chung, Tsz Ting and Cui, Leyang and Liu, Lemao and Huang, Xinting and Shi, Shuming and Yeung, Dit-Yan},
  journal={arXiv preprint arXiv:2410.11786},
  year={2024}
}