Bias Correction Transferability is a methodological framework that enables the systematic adaptation and application of bias correction techniques across diverse domains, models, or datasets by preserving correction efficacy and consistency under distributional or architectural shifts.
3
Publications
191
Citations
17
Authors
14
Institutions
Publications per year
2017–2026
3
Parents
Publications
3
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
Xisen Jin, Francesco Barbieri, Brendan Kennedy et al. · 2021 · 41 citations · Full text
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Authors
17
- BK
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- LM
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- SZ
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- TH
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1–5 of 17
Institutions
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German Climate Computing Centre
Hamburg, Germany
1 h-index
1 publications
40 citations
Climate Service Center
Hamburg, Germany
1 h-index
1 publications
40 citations
École de Technologie Supérieure
Montreal, Canada
1 h-index
2 publications
220 citations
Wuhan University
Wuhan, China
1 h-index
2 publications
220 citations
Southern States University
San Diego, United States
1 h-index
6 publications
246 citations
GFZ Helmholtz Centre for Geosciences
Potsdam, Germany
1 h-index
1 publications
40 citations
Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute
Wuhan, China
1 h-index
2 publications
220 citations
California Southern University
Chandler, United States
1 h-index
6 publications
246 citations
1–8 of 14
Venues
- Risk Analysis
1 publications · 40 citations
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- Water Resources Research
1 publications · 110 citations
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- Ecography
1 publications · 13 citations
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