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FreedomIntelligence/DPTDR
Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
About FreedomIntelligence/DPTDR
FreedomIntelligence/DPTDR is an open-source project on GitHub, mainly written in Python. Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval It currently holds 26 stars and 5 forks with 0 open issues, and was last pushed on an unknown date (repository created unknown).
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GitHub Repository Details
README
Introduction
Code for the paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval. We mainly develped our code based on coCondenser and P-tuning v2.Installation
For environment, please run sh install_env.sh in a clean conda environment of python>=3.7.
Then just run pip install -e ..
Reproduction for MS-MARCO
Please refer toexamples/msmarco-passage-ranking.
Reproduction for Natural Questions
Please refer toexamples/natural-questions.
References
@article{tang2022dptdr,
title={DPTDR: Deep Prompt Tuning for Dense Passage Retrieval},
author={Tang, Zhengyang and Wang, Benyou and Yao, Ting},
journal={arXiv preprint arXiv:2208.11503},
year={2022}
}
GitHub Stars & Activity
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GitHub stars26
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Primary languagePython
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