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Safety Alignment on Salad Bench

0.68MDShaPO-T
-2.454818.705139.86561.0249Feb 7, 2026Feb 11, 2026Feb 16, 2026Feb 21, 2026Feb 25, 2026Mar 2, 2026Mar 7, 2026

Evaluation results

MethodLinks
ShaPO-TBackbone=Qwen2.5-7B2026.020.680.07
ShaPO-RBackbone=Qwen2.5-7B2026.020.980.06
wDPOBackbone=Qwen-2.5-7B2026.031.040.1
ShaPO-RBackbone=LLaMA-3-8B2026.021.130.08
ShaPO-TBackbone=LLaMA-3.2-3B2026.021.210.25
Llama-3.2-3B + wDPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.031.420.27
Dr.DPOBackbone=Qwen2.5-7B2026.021.530.46
Dr.DPOBackbone=Qwen-2.5-7B2026.031.530.46
ShaPO-RBackbone=LLaMA-3.2-3B2026.021.590.3
Dr.DPOBackbone=LLaMA-3.2-3B2026.021.780.33
Llama-3.2-3B + Dr.DPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.031.780.33
ShaPO-TBackbone=LLaMA-3-8B2026.022.480.23
wDPOBackbone=Llama-3-8B2026.033.330.45
Dr.DPOBackbone=LLaMA-3-8B2026.023.520.51
Dr.DPOBackbone=Llama-3-8B2026.033.520.51
rDPOBackbone=LLaMA-3.2-3B2026.024.191.97
Llama-3.2-3B + rDPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.034.191.97
rDPOBackbone=Qwen2.5-7B2026.024.231.76
rDPOBackbone=Qwen-2.5-7B2026.034.231.76
rDPOBackbone=LLaMA-3-8B2026.025.382.38
rDPOBackbone=Llama-3-8B2026.035.382.38
IPOBackbone=LLaMA-3.2-3B2026.0211.126.07
Llama-3.2-3B + IPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.0311.126.07
DPOBackbone=LLaMA-3.2-3B2026.0211.316.13
Llama-3.2-3B + DPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.0311.316.13
ShaPO-RBackbone=Pythia-2.8B2026.0211.72
Pythia-2.8B + wDPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.0313.212.52
ShaPO-TBackbone=Pythia-2.8B2026.0214.021.65
Pythia-2.8B + Dr.DPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.0318.824.9
IPOBackbone=Qwen2.5-7B2026.0222.168.24
IPOBackbone=Qwen-2.5-7B2026.0322.168.24
DPOBackbone=Qwen2.5-7B2026.0222.978.63
DPOBackbone=Qwen-2.5-7B2026.0322.978.63
cDPOBackbone=LLaMA-3.2-3B2026.0226.6513.29
Llama-3.2-3B + cDPOBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.0326.6513.29
IPOBackbone=LLaMA-3-8B2026.0230.1215.69
IPOBackbone=Llama-3-8B2026.0330.1215.69
Dr.DPOBackbone=Pythia-2.8B2026.0230.2718.24
DPOBackbone=LLaMA-3-8B2026.0231.5519.75
DPOBackbone=Llama-3-8B2026.0331.5519.75
cDPOBackbone=Qwen2.5-7B2026.0232.5613.66
cDPOBackbone=Qwen-2.5-7B2026.0332.5613.66
VanillaBackbone=Qwen2.5-7B2026.0233.8513.77
Qwen-2.5-7BBackbone=Qwen-2.5-7B2026.0333.8513.77
cDPOBackbone=LLaMA-3-8B2026.0242.5326.44
cDPOBackbone=Llama-3-8B2026.0342.5326.44
rDPOBackbone=Pythia-2.8B2026.0260.4520.94
Pythia-2.8B + rDPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.0360.4520.94
DPOBackbone=Pythia-2.8B2026.0263.620.79
Pythia-2.8B + DPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.0363.620.79
IPOBackbone=Pythia-2.8B2026.0264.5522.74
Pythia-2.8B + IPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.0364.5522.74
cDPOBackbone=Pythia-2.8B2026.0267.6119.24
Pythia-2.8B + cDPOBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.0367.6119.24
VanillaBackbone=LLaMA-3-8B2026.0273.1423.26
Llama-3-8BBackbone=Llama-3-8B2026.0373.1423.26
SFTBackbone=Qwen2.5-7B2026.0273.4555.05
SFTBackbone=Qwen-2.5-7B2026.0373.4555.05
VallinaBackbone=LLaMA-3.2-3B2026.0274.1722.32
Llama-3.2-3BBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.0374.1722.32
SFTBackbone=LLaMA-3.2-3B2026.0274.2850.58
Llama-3.2-3B + SFTBackbone=Llama-3.2-3B, Training Dataset=PKU-SafeRLHF-30K2026.0374.2850.58
SFTBackbone=LLaMA-3-8B2026.0275.158.68
SFTBackbone=Llama-3-8B2026.0375.158.68
VallinaBackbone=Pythia-2.8B2026.0278.9529.69
Pythia-2.8BBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.0378.9529.69
SFTBackbone=Pythia-2.8B2026.0279.0530.23
Pythia-2.8B + SFTBackbone=Pythia-2.8B, Training Dataset=PKU-SafeRLHF-30K2026.0379.0530.23