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Sequential Model Editing on Counterfact

99.88EfficacyRECT (aligned)
-3.995222.972449.9476.9076Oct 5, 2024Jan 12, 2025Apr 22, 2025Jul 31, 2025Nov 7, 2025Feb 15, 2026May 26, 2026

Evaluation results

MethodLinks
RECT (aligned)Model=LLaMA32026.0599.8894.3481.56628.7533.22
PRUNE (aligned)Model=LLaMA32026.0599.8794.9179.9628.0333.41
MEMIT (aligned)Model=LLaMA32026.0599.8595.2979.98626.6333.31
PRUNE (aligned)Model=GPT-J2026.0599.8396.1674.77617.0442.05
AlphaEdit (aligned)Model=Qwen2.52026.0599.8392.2183.06625.332.09
MEMIT (aligned)Model=GPT-J2026.0599.8296.5174.92616.3941.79
MEMIT (aligned)Model=Qwen2.52026.0599.8292.8482.64624.8131.74
RECT (aligned)Model=GPT-J2026.0599.7895.6976.71620.7341.92
PRUNE (aligned)Model=Qwen2.52026.0599.7891.8582.2562531.58
EvoEditModel=Llama-3-3B2025.1099.7797.2771.32630.7134.1
AlphaEdit (aligned)Model=GPT-J2026.0599.7396.0375.49617.7341.95
RECT (aligned)Model=Qwen2.52026.0599.7291.382.8625.0431.76
EvoEditModel=Llama-3-8B2025.1099.6794.9369.99623.0932.64
AlphaEditModel=Qwen-7B2025.1099.5779.8182.65626.830.98
NSEModel=GPT-J2024.1099.5591.9278.96620.4940.24
AlphaEdit (aligned)Model=GPT-2 XL2026.0599.5394.166.5597.8639.19
EvoEditModel=Qwen-7B2025.1099.582.582.73626.831.22
AlphaEditModel=Llama-3-3B2025.1099.4296.6964.71624.8432.92
PRUNE (aligned)Model=GPT-2 XL2026.0599.3293.9565.04583.8237.36
RECT (aligned)Model=GPT-2 XL2026.0599.1593.8266.29588.7137.89
MEMIT (aligned)Model=GPT-2 XL2026.0599.0593.4664.46571.7235.93
AlphaEdit (aligned)Model=LLaMA32026.0598.9293.9368.57621.8532.31
AlphaEditModel=Llama-3-8B2025.1098.994.2267.88622.4932.4
MEMITModel=GPT-J2024.1098.5595.563.64546.2834.89
EvoEditBackbone=Llama-3-8B, Number of sequential edits=10,000, Batch size=1002025.1098.2991.2163.91613.8833.22
NSEModel=GPT2-XL2024.1096.887.7272.1622.8540.04
NSEModel=Llama32024.1096.1478.4287.66632.7230.2
GRACEModel=GPT-J2024.1095.880.0582.11620.2128.53
MEMITModel=GPT2-XL2024.1094.785.8260.5477.2622.72
GRACEModel=GPT2-XL2024.1094.50.0478.13622.5631.55
FTBackbone=Llama-3-8B, Number of sequential edits=10,000, Batch size=1002025.1094.0484.1238.15401.5721.35
FT-LModel=GPT-J2024.1092.1572.3843.35297.926.65
GRACEModel=Llama32024.1090.720.0987.23632.4323.79
FT-LModel=Llama32024.1083.3367.7946.63233.728.77
FTModel=Llama-3-8B2025.1083.3367.7946.63233.728.77
MEMITModel=Llama-3-3B2025.1076.0377.460.7576.2320.76
ROMEModel=Llama-3-3B2025.1069.8863.7948.88656.961.65
ROMEModel=Qwen-7B2025.1068.6562.4451.35539.774.26
PRUNEModel=Llama-3-8B2025.1068.2564.7549.82418.035.9
AlphaEditBackbone=Llama-3-8B, Number of sequential edits=10,000, Batch size=1002025.1066.7858.2751.79489.914.59
InstructEditModel=Llama-3-8B2025.1066.5864.1847.14443.857.28
RECTModel=Llama-3-8B2025.1066.0563.6261.41526.6220.54
MEMITModel=Llama32024.1065.6564.6551.56437.436.58
MEMITModel=Llama-3-8B2025.1065.6564.6551.56437.436.58
MEMITModel=Qwen-7B2025.1065.6564.6551.56437.436.58
ROMEModel=Llama32024.1064.461.4249.44449.063.31
ROMEModel=Llama-3-8B2025.1064.461.4249.44449.063.31
FT-LModel=GPT2-XL2024.1063.5542.257.06519.3510.56
MENDModel=Llama32024.1063.2461.1745.37372.164.21
MENDModel=Llama-3-8B2025.1063.2461.1745.37372.164.21
FT-WModel=Llama32024.1061.2362.447.05492.343.57
SPHEREModel=Qwen2.5-7B2025.1060.7629.243.83612.6714.74
ROMEModel=GPT-J2024.1057.554.252.05589.283.22
ROMEModel=GPT2-XL2024.1054.651.1852.68366.130.72
SPHEREModel=LLaMA3-8B2025.1052.8932.075.01551.5130.89
MENDModel=GPT2-XL2024.1050.850.849.2407.211.01
MEMITBackbone=Llama-3-8B, Number of sequential edits=10,000, Batch size=1002025.1049.7349.2451.54389.313.45
FT-WModel=GPT-J2024.1048.3531.4268.71587.229.41
ROMEBackbone=Llama-3-8B, Number of sequential edits=10,000, Batch size=1002025.1047.5748.4552.52465.021.83
MENDModel=GPT-J2024.1046.1546.2253.9242.413.94
AlphaEditModel=Qwen2.5-7B2025.1043.9224.372.32479.834.67
FT-WModel=GPT2-XL2024.1042.735.9363.06565.9613.03
Pre-editedModel=GPT2-XL2024.1022.2324.3478.53626.6431.88
Pre-editedModel=GPT-2 XL2026.0522.2324.3478.53626.6431.88
Pre-editedModel=GPT-J2024.1016.2218.5683.11621.8129.74
Pre-editedModel=GPT-J2026.0516.2218.5683.11621.8129.74
FTModel=Qwen2.5-7B2025.1015.444.631.46214.263.15
PRUNEModel=Qwen2.5-7B2025.1014.311.276.75620.7429.5
Pre-editedModel=Qwen2.52026.0513.9516.7586.02625.6825.49
FTModel=LLaMA3-8B2025.108.42.540.03409.819.35
Pre-editedModel=Llama32024.107.8510.5889.48635.2324.14
Pre-editedModel=LLaMA32026.057.8510.5889.48635.2324.14
GRACEBackbone=Llama-3-8B, Number of sequential edits=10,000, Batch size=1002025.107.8310.2189.2568.493.61
AlphaEditModel=LLaMA3-8B2025.104.371.710.57482.364.71
PRUNEModel=LLaMA3-8B2025.101.190.340.62618.7249.24
RECTModel=Qwen2.5-7B2025.100.640.190.09368.461.35
RECTModel=LLaMA3-8B2025.100.570.290.1438.839.4
Pre-editedModel=LLaMA3-8B2025.100.490.4418.09634.8422.06
Pre-editedModel=Qwen2.5-7B2025.100.420.4615.06624.4523.02
MEMITModel=LLaMA3-8B2025.10000318.194.19
MEMITModel=Qwen2.5-7B2025.10000370.843.59