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Generative Pseudo Labeling

university
https://github.com/UKPLab/gpl
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AI & ML interests

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.

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models 83

GPL/README

Updated Apr 20, 2022 • 1

GPL/robust04-tsdae-msmarco-distilbert-margin-mse

Feature Extraction • Updated Apr 19, 2022 • 56

GPL/cqadupstack-tsdae-msmarco-distilbert-margin-mse

Feature Extraction • Updated Apr 19, 2022 • 81

GPL/trec-covid-v2-tsdae-msmarco-distilbert-margin-mse

Feature Extraction • Updated Apr 19, 2022 • 55

GPL/bioasq-1m-tsdae-msmarco-distilbert-margin-mse

Feature Extraction • Updated Apr 19, 2022 • 53

GPL/bioasq-tsdae-msmarco-distilbert-margin-mse

Feature Extraction • Updated Apr 19, 2022 • 36

GPL/scifact-tsdae-msmarco-distilbert-margin-mse

Feature Extraction • Updated Apr 19, 2022 • 56

GPL/fiqa-tsdae-msmarco-distilbert-margin-mse

Feature Extraction • Updated Apr 19, 2022 • 57

GPL/trec-covid-tsdae-msmarco-distilbert-margin-mse

Feature Extraction • Updated Apr 19, 2022 • 35

GPL/scidocs-tsdae-msmarco-distilbert-margin-mse

Feature Extraction • Updated Apr 19, 2022 • 35
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