Projects: pypi: gpl
https://packages.ecosyste.ms/registries/pypi.org/packages/gpl
GPL is an unsupervised domain adaptation method for training dense retrievers. It is based on query generation and pseudo labeling with powerful cross-encoders. To train a domain-adapted model, it needs only the unlabeled target corpus and can achieve significant improvement over zero-shot models.
14 versions
Latest release: over 3 years ago
309 downloads last month
Enhanced Analysis
Repository Activity:
Repository Owner:
Ubiquitous Knowledge Processing Lab (organization)
Academic
Science Score: 100/100
Starting Score: 100 points
Bonuses:
-
+20
Academic repository owner
Repository owned by academic institution -
+15
Institutional repository owner
Repository owned by research institution
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem -
-15
No science keywords
No scientific terms found in keywords/classifiers -
-10
No science terms in description
No scientific terms found in description
Very Likely Science (100)
Papers Mentioning gpl 1
10.18632/aging.103350
A novel molecular-clinicopathologic nomogram to improve prognosis prediction of hepatocellular carcinomaCited by: 3
Author(s): Zhongjing Zhang, Wanqing Weng, Weiguo Huang, Boda Wu, Yi Zhou, Jie Zhang, Tuo Deng, Yan Wen, Jiecheng Zhang, Jian‐Yang Ao, Qiyu Zhang, Ke‐Qing Shi
Software Mentions: 6
Published: almost 6 years ago