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Machine Unlearning on TOFU Forget 10%

65Aggregation ScoreRetrain
-0.5216.4933.550.51Oct 22, 2025Nov 25, 2025Dec 29, 2025Feb 2, 2026Mar 8, 2026Apr 11, 2026May 16, 2026

Evaluation results

MethodLinks
RetrainBackbone=Llama 3.2 3B2025.10650.5775———
RetrainBackbone=Llama 3.1 8B2025.10650.5775———
RetrainBackbone=Llama 3.2 1B2025.10640.5871———
BS-SBackbone=Llama 3.1 8B2025.10640.5871———
BS-SBackbone=Llama 3.2 3B2025.10630.5870———
NPOBackbone=Llama 3.1 8B2025.10630.5770———
BS-TBackbone=Llama 3.1 8B2025.10630.5770———
NPOBackbone=Llama 3.2 3B2025.10620.5866———
BS-TBackbone=Llama 3.2 3B2025.10620.5668———
RMUBackbone=Llama 3.1 8B2025.10620.5572———
BS-SBackbone=Llama 3.2 1B2025.10610.5963———
BS-TBackbone=Llama 3.2 1B2025.10590.5662———
NPOBackbone=Llama 3.2 1B2025.10580.5858———
RMUBackbone=Llama 3.2 1B2025.10580.5957———
RMUBackbone=Llama 3.2 3B2025.10550.4474———
WGABackbone=Llama 3.2 1B2025.10530.4762———
GradDiffBackbone=Llama 3.2 1B2025.10520.4956———
WGABackbone=Llama 3.1 8B2025.10520.4170———
WGABackbone=Llama 3.2 3B2025.10510.4266———
GradDiffBackbone=Llama 3.1 8B2025.10500.4555———
GradDiffBackbone=Llama 3.2 3B2025.10490.4752———
SimNPOBackbone=Llama 3.2 1B2025.10470.3570———
SimNPOBackbone=Llama 3.2 3B2025.10410.2874———
SimNPOBackbone=Llama 3.1 8B2025.10290.1872———
OriginalBackbone=Llama 3.2 1B2025.10160.0971———
EUABackbone=LLaMA-3.2-3B2026.058.665——9.4787.7848.651
EUABackbone=Qwen2.5-7B2026.058.665——9.5637.4168.878
EUABackbone=LLaMA-3.1-8B2026.058.598——9.557.4338.679
EUABackbone=Qwen2.5-3B2026.058.561——9.5287.3328.619
EUABackbone=LLaMA-3.2-1B2026.058.32——9.3176.6948.72
EUABackbone=Qwen2.5-1.5B2026.058.264——9.1896.8218.597
DPOBackbone=LLaMA-3.2-3B2026.056.967——5.9377.3197.536
DPOBackbone=LLaMA-3.2-1B2026.056.816——6.4146.3787.587
DPOBackbone=LLaMA-3.1-8B2026.056.758——6.1166.8277.281
WGABackbone=LLaMA-3.2-3B2026.056.71——8.7117.6840.371
SimNPOBackbone=Qwen2.5-3B2026.056.501——6.6126.7866.084
SatImpBackbone=LLaMA-3.2-3B2026.056.484——8.1757.6760.6
DPOBackbone=Qwen2.5-7B2026.056.445——5.5035.6737.885
SimNPOBackbone=Qwen2.5-7B2026.056.397——6.8577.2254.853
SimNPOBackbone=LLaMA-3.2-1B2026.056.32——7.2446.5214.983
WGABackbone=Qwen2.5-1.5B2026.056.182——7.2676.2824.729
SimNPOBackbone=Qwen2.5-1.5B2026.056.165——5.8676.5256.086
SimNPOBackbone=LLaMA-3.1-8B2026.056.152——7.2326.9963.508
RMUBackbone=LLaMA-3.2-1B2026.056.149——8.9175.8230.135
SimNPOBackbone=LLaMA-3.2-3B2026.056.144——6.9847.2323.49
RMUBackbone=LLaMA-3.2-3B2026.056.129——7.7697.2280.291
WGABackbone=Qwen2.5-7B2026.056.071——7.8047.0040.781
DPOBackbone=Qwen2.5-3B2026.056.009——2.666.597.605
SatImpBackbone=Qwen2.5-7B2026.056.005——6.6287.0043.898
OriginalBackbone=Llama 3.2 3B2025.1060.0375———
WGABackbone=Qwen2.5-3B2026.055.93——7.5186.9420.884
SatImpBackbone=LLaMA-3.1-8B2026.055.917——7.0486.6843.271
SatImpBackbone=Qwen2.5-3B2026.055.898——7.656.7250.794
RMUBackbone=Qwen2.5-7B2026.055.853——7.4986.6991.289
RMUBackbone=Qwen2.5-3B2026.055.844——7.6136.6540.474
WGABackbone=LLaMA-3.1-8B2026.055.822——7.3386.8830.68
OriginalBackbone=LLaMA-3.2-3B2026.055.809——0.1587.8816.253
DPOBackbone=Qwen2.5-1.5B2026.055.766——3.1755.7167.549
NPOBackbone=Qwen2.5-7B2026.055.718——6.9576.7082.169
NPOBackbone=LLaMA-3.2-3B2026.055.65——6.9525.3224.372
SatImpBackbone=Qwen2.5-1.5B2026.055.646——7.4156.3460.611
RMUBackbone=LLaMA-3.1-8B2026.055.579——6.9476.7110.258
OriginalBackbone=LLaMA-3.1-8B2026.055.578——0.0737.4566.144
WGABackbone=LLaMA-3.2-1B2026.055.526——7.565.830.672
OriginalBackbone=Qwen2.5-3B2026.055.473——0.2347.3665.961
OriginalBackbone=Qwen2.5-7B2026.055.473——0.1527.4765.825
SatImpBackbone=LLaMA-3.2-1B2026.055.468——6.9846.3460.798
NPOBackbone=LLaMA-3.1-8B2026.055.437——6.6296.6121.006
RMUBackbone=Qwen2.5-1.5B2026.055.403——6.9866.2260.082
NPOBackbone=Qwen2.5-3B2026.055.378——7.084.0694.484
NPOBackbone=Qwen2.5-1.5B2026.055.34——6.3194.4445.087
NPOBackbone=LLaMA-3.2-1B2026.055.333——6.84.3864.452
GradDiffBackbone=Qwen2.5-3B2026.055.208——8.4973.0110.329
OriginalBackbone=LLaMA-3.2-1B2026.055.161——0.37.375.049
GradDiffBackbone=Qwen2.5-1.5B2026.055.159——8.1963.5510.232
GradDiffBackbone=LLaMA-3.1-8B2026.055.092——6.9915.3610.385
OriginalBackbone=Qwen2.5-1.5B2026.055.048——0.5166.8435.418
GradDiffBackbone=LLaMA-3.2-1B2026.054.997——8.3182.3850.23
GradDiffBackbone=Qwen2.5-7B2026.054.91——8.0272.810.031
GradDiffBackbone=LLaMA-3.2-3B2026.054.601——7.5712.4870.049
OriginalBackbone=Llama 3.1 8B2025.1020.0173———