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@@ -27,8 +27,7 @@ and open-sourced1 to advance the field and serve as a valuable
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  resource for future studies.
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- Short Introduction:
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- In human resources, bias affects both employers and em-
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  ployees in explicit and implicit forms. Explicit bias is
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  conscious and controllable, but can be illegal in employment
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  contexts. Implicit bias is subtle, unconscious, and harder to
@@ -67,3 +66,12 @@ bias in job descriptions? We fine-tune models with vary-
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  ing architectures as text-classifiers on task-specific data
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  and compare their performance to that of prompt-tuned
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  models.
 
 
 
 
 
 
 
 
 
 
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  resource for future studies.
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+ Introduction—In human resources, bias affects both employers and em-
 
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  ployees in explicit and implicit forms. Explicit bias is
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  conscious and controllable, but can be illegal in employment
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  contexts. Implicit bias is subtle, unconscious, and harder to
 
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  ing architectures as text-classifiers on task-specific data
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  and compare their performance to that of prompt-tuned
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  models.
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+ Dataset—
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+ Results—
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