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Benchmarks
LLM Unlearning on MMLU
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62.19
Accuracy
Base Model
21.162
31.8135
42.465
53.1165
Feb 19, 2025
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Base Model
Backbone=Llama-3-8B
2025.02
62.19
RMU
Backbone=Llama-3-8B
2025.02
61.13
NPOGDR
Backbone=Llama-3-8B
2025.02
59.96
GAGDR
Backbone=Llama-3-8B
2025.02
59.84
Base Model
Backbone=Mistral-7B
2025.02
59.13
NPOKLR
Backbone=Llama-3-8B
2025.02
56.15
GAKLR
Backbone=Llama-3-8B
2025.02
55.7
RMU
Backbone=Mistral-7B
2025.02
49.91
NPOKLR
Backbone=Mistral-7B
2025.02
49.16
GAKLR
Backbone=Mistral-7B
2025.02
47.02
NPOGDR
Backbone=Mistral-7B
2025.02
42.81
TV
Backbone=Llama-3-8B
2025.02
34.2
GA
Backbone=Llama-3-8B
2025.02
28.56
TV
Backbone=Mistral-7B
2025.02
25.8
NPO
Backbone=Mistral-7B
2025.02
25.51
GA
Backbone=Mistral-7B
2025.02
24.65
NPO
Backbone=Llama-3-8B
2025.02
22.95
GAGDR
Backbone=Mistral-7B
2025.02
22.74
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