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MethodPan16
Mention (y)Gender (g)FairnessMention (y)Age (g)Fairness
F1↑MDL↓ΔF1↓MDL↑DP↓GapgRMS ↓F1↑MDL↓ΔF1↓MDL↑DP↓GapgRMS ↓
BERTbase (pre-trained) 72.3 259.7 7.4 300.5 0.11 0.056 72.8 262.6 6.1 302.0 0.14 0.078 
BERTbase (fine-tuned) 89.7 4.0 15.1 267.6 0.04 0.007 89.3 4.8 7.4 295.4 0.04 0.006 
AdS 89.7 7.6 4.9 313.9 0.04 0.007 89.2 6.0 1.1 315.1 0.04 0.004 
FaRM 88.7 1.7 0.0 312.4 0.04 0.007 88.6 0.8 0.0 312.6 0.03 0.008 
MethodPan16
Mention (y)Gender (g)FairnessMention (y)Age (g)Fairness
F1↑MDL↓ΔF1↓MDL↑DP↓GapgRMS ↓F1↑MDL↓ΔF1↓MDL↑DP↓GapgRMS ↓
BERTbase (pre-trained) 72.3 259.7 7.4 300.5 0.11 0.056 72.8 262.6 6.1 302.0 0.14 0.078 
BERTbase (fine-tuned) 89.7 4.0 15.1 267.6 0.04 0.007 89.3 4.8 7.4 295.4 0.04 0.006 
AdS 89.7 7.6 4.9 313.9 0.04 0.007 89.2 6.0 1.1 315.1 0.04 0.004 
FaRM 88.7 1.7 0.0 312.4 0.04 0.007 88.6 0.8 0.0 312.6 0.03 0.008 
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