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Safety Alignment on AdvBench

-0.38RewardSEA
-12.9016-9.6508-6.4-3.1492May 26, 2025

Evaluation results

MethodLinks
SEABackbone=LLaMA-3.2-Instruct (1B)2025.05-0.38———0.1975.32
RSBackbone=LLaMA-3.2-Instruct (1B)2025.05-1.51———0.96-24.68
BoN-64Backbone=LLaMA-3.2-Instruct (1B)2025.05-1.55———0.770
BoN-32Backbone=LLaMA-3.2-Instruct (1B)2025.05-1.75———0.96-24.68
SEABackbone=LLaMA-3-Base (8B)2025.05-1.83———3.8573.3
CBSBackbone=LLaMA-3.2-Instruct (1B)2025.05-2.11———0.96-24.68
SFTBackbone=LLaMA-3.2-Instruct (1B)2025.05-2.36———0.77—
BoN-8Backbone=LLaMA-3.2-Instruct (1B)2025.05-2.45———0.3850.65
CBSBackbone=LLaMA-3-Base (8B)2025.05-3.84———6.3555.96
SEABackbone=LLaMA-3.2-Base (3B)2025.05-4.03———6.9286.37
BoN-64Backbone=LLaMA-3-Base (8B)2025.05-4.29———8.8538.63
ARGSBackbone=LLaMA-3.2-Instruct (1B)2025.05-4.96———0.1975.32
BoN-32Backbone=LLaMA-3-Base (8B)2025.05-5———8.6540.01
ARGSBackbone=LLaMA-3-Base (8B)2025.05-5.41———8.2742.65
SEABackbone=LLaMA-3.2-Base (1B)2025.05-5.61———5.5891.54
BoN-64Backbone=LLaMA-3.2-Base (3B)2025.05-6.13———28.2744.32
BoN-8Backbone=LLaMA-3-Base (8B)2025.05-6.32———11.7318.65
BoN-32Backbone=LLaMA-3.2-Base (3B)2025.05-6.86———28.2744.32
BoN-64Backbone=LLaMA-3.2-Base (1B)2025.05-7.16———43.8533.52
RSBackbone=LLaMA-3-Base (8B)2025.05-7.41———658.39
CBSBackbone=LLaMA-3.2-Base (3B)2025.05-7.62———23.6553.42
ARGSBackbone=LLaMA-3.2-Base (3B)2025.05-7.97———22.555.68
BoN-32Backbone=LLaMA-3.2-Base (1B)2025.05-8.07———43.6533.82
SFTBackbone=LLaMA-3-Base (8B)2025.05-8.1———14.42—
CBSBackbone=LLaMA-3.2-Base (1B)2025.05-8.24———24.8162.38
BoN-8Backbone=LLaMA-3.2-Base (3B)2025.05-8.48———32.1236.73
ARGSBackbone=LLaMA-3.2-Base (1B)2025.05-8.76———25.9660.64
BoN-8Backbone=LLaMA-3.2-Base (1B)2025.05-9.59———49.2325.36
RSBackbone=LLaMA-3.2-Base (3B)2025.05-9.98———4021.21
RSBackbone=LLaMA-3.2-Base (1B)2025.05-10.73———5024.2
SFTBackbone=LLaMA-3.2-Base (3B)2025.05-11.95———50.77—
SFTBackbone=LLaMA-3.2-Base (1B)2025.05-12.42———65.96—
Best-of-NMain Model=GPT-4o-mini, Projector=GPT-4o-mini2025.06—9910——
Chain-of-ThoughtMain Model=GPT-4o-mini, Projector=GPT-4o-mini2025.06—9901——
Multi-Agent DebateMain Model=GPT-4o-mini, Projector=GPT-4o-mini2025.06—9910——
RLAIFtraining_context=after re-alignment training2025.06—33643——
Self-Refine (Debate)training_context=after re-alignment training2025.06—33616——