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repro-nanoquant-efficient-sub-1-bit-quantization-of-large-language-models
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repro-nanoquant-efficient-sub-1-bit-quantization-of-large-language-models
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ProCreations
Add the missing Claim 5 page: rerun the COMPAS case study on real ProPublica data; optimal fair thresholds differ by 0.08-0.13 across groups and forcing a single threshold costs 52-341 utility
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compas_exp.py
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5.37 kB
Add the missing Claim 5 page: rerun the COMPAS case study on real ProPublica data; optimal fair thresholds differ by 0.08-0.13 across groups and forcing a single threshold costs 52-341 utility
5 days ago