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Unlearning on MUSE-News 1.0 (test)

-99.8114Privacy LeakF target
-108.186096-51.6568984.872361.401498Sep 27, 2025Oct 17, 2025Nov 7, 2025Nov 28, 2025Dec 18, 2025Jan 8, 2026Jan 29, 2026

Evaluation results

MethodLinks
F targetalpha=5, Quantization Precision=16-bit2026.01-99.811464.4088——————42.213553.9108——
GA GDR L1alpha=20, gamma=10, Quantization Precision=4-bit2026.01-99.811453.1294——————35.696848.3322——
GA GDR L1alpha=20, gamma=20, Quantization Precision=4-bit2026.01-99.811452.5442——————36.979948.2426——
GA GDR L1alpha=20, gamma=50, Quantization Precision=4-bit2026.01-99.811451.5712——————35.773248.9254——
F targetalpha=5, Quantization Precision=4-bit2026.01-99.790454.4482——————36.177947.6531——
GA GDR L1alpha=5, gamma=8, Quantization Precision=4-bit2026.01-99.790449.6625——————35.030950.1803——
GA GDR L1alpha=5, gamma=1, Quantization Precision=4-bit2026.01-99.769550.7248——————32.857247.3032——
GA GDR L1alpha=5, gamma=5, Quantization Precision=4-bit2026.01-99.769550.7248——————32.857247.3032——
GA GDR L1alpha=5, gamma=9, Quantization Precision=4-bit2026.01-99.769547.8559——————34.583848.0864——
GA GDR L1alpha=20, gamma=50, Quantization Precision=16-bit2026.01-99.769556.7639——————34.502545.17——
PDUBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=false2026.01-99.72710.77750.02980.41280.20180.74390.35290.4788————
PDUBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=true2026.01-99.72710.7840.02790.39840.21610.73960.37480.4975————
PDUBackbone=Llama-2-7B, CLReg=false2026.01-99.72710.77750.02980.41280.20180.74390.35290.4788————
PDUBackbone=Llama-2-7B, CLReg=true2026.01-99.72710.7840.02790.39840.21610.73960.37480.4975————
GA GDR L1alpha=20, gamma=20, Quantization Precision=16-bit2026.01-99.706656.4008——————33.617945.5953——
GA GDR L1alpha=20, gamma=10, Quantization Precision=16-bit2026.01-99.643856.4339——————34.424345.8381——
GA GDR L1alpha=1, gamma=5, Quantization Precision=4-bit2026.01-99.601851.7035——————30.089952.4894——
UNDIALBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=false2026.01-99.49620.75080.03570.28440.20270.84020.36320.5072————
UNDIALBackbone=Llama-2-7B, CLReg=false2026.01-99.49620.75080.03570.28440.20270.84020.36320.5072————
UNDIALBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=true2026.01-99.47520.75530.03280.27290.21260.83040.36940.5113————
UNDIALBackbone=Llama-2-7B, CLReg=true2026.01-99.47520.75530.03280.27290.21260.83040.36940.5113————
NPOBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=false2026.01-92.69520.78690.04420.50150.20550.62380.4540.5255————
NPOBackbone=Llama-2-7B, CLReg=false2026.01-92.69520.78690.04420.50150.20550.62380.4540.5255————
NPOBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=true2026.01-92.54830.78720.0450.49930.2070.62590.46570.534————
NPOBackbone=Llama-2-7B, CLReg=true2026.01-92.54830.78720.0450.49930.2070.62590.46570.534————
SimNPOBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=false2026.01-90.55420.8480.0720.54490.24490.44590.47780.4613————
SimNPOBackbone=Llama-2-7B, CLReg=false2026.01-90.55420.8480.0720.54490.24490.44590.47780.4613————
GradDiffBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=false2026.01-87.84640.83810.06830.53090.24140.48640.46620.4761————
GradDiffBackbone=Llama-2-7B, CLReg=false2026.01-87.84640.83810.06830.53090.24140.48640.46620.4761————
GA GDR L1alpha=1, gamma=1, Quantization Precision=4-bit2026.01-81.433447.3608——————24.153345.5512——
GA GDRalpha=5, Quantization Precision=4-bit2026.01-79.044449.541——————24.358449.0015——
GA GDR L1alpha=5, gamma=10, Quantization Precision=4-bit2026.01-74.371347.6524——————24.793748.171——
GA GDR L1alpha=5, gamma=9, Quantization Precision=16-bit2026.01-1.739354.78——————28.095843.5021——
GA GDR L1alpha=5, gamma=8, Quantization Precision=16-bit2026.010.565854.6848——————26.13254.6849——
NPORuntime (min)=69.1672025.0915.486————0—1—005
GARuntime (min)=67.7222025.0918.588————0—1—005
GAalpha=5, Quantization Precision=4-bit2026.0130.1970——————00——
GAalpha=5, Quantization Precision=16-bit2026.0136.48370——————00——
PRISMRuntime (min)=184.9672025.0982.564————0—0.621—43.55345.5051
SimNPOBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=true2026.0188.65660.38990.01410.44140.04040.87730.4240.5717————
SimNPOBackbone=Llama-2-7B, CLReg=true2026.0188.65660.38990.01410.44140.04040.87730.4240.5717————
Original2025.0999.148————58.302———55.463.879—
GradDiffBackbone=Llama-2-7B, Contrastive Learning Regularization (CLReg)=true2026.0199.68510.34410.0120.42670.03450.89810.410.563————
GradDiffBackbone=Llama-2-7B, CLReg=true2026.0199.68510.34410.0120.42670.03450.89810.410.563————
Task VectorRuntime (min)=196.2832025.0999.811————56.258—0—54.63463.6575
DOORRuntime (min)=435.5002025.0999.895————52.383—0.069—44.57559.3072
GA GDR L1alpha=1, gamma=1, Quantization Precision=16-bit2026.01106.747720.5398——————012.7084——
GA GDR L1alpha=5, gamma=10, Quantization Precision=16-bit2026.01107.37640——————00——
GA GDR L1alpha=1, gamma=5, Quantization Precision=16-bit2026.01107.942222.1245——————021.8765——
NPOGDRRuntime (min)=131.4612025.09109.493————0—0.599—40.05548.143
GAGDRRuntime (min)=78.8382025.09109.493————4.891—0.687—10.5632.654
GA GDRalpha=5, Quantization Precision=16-bit2026.01109.555724.345——————00.6667——
GA GDR L1alpha=5, gamma=1, Quantization Precision=16-bit2026.01109.555734.6993——————031.5268——
GA GDR L1alpha=5, gamma=5, Quantization Precision=16-bit2026.01109.555744.9129——————1.944522.3284——
SAM+NPORuntime (min)=175.4332025.09109.556————0—0.609—41.58146.9065