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Preference Alignment on HH-RLHF

89.5Win RateCW-IPO
27.6243.68559.7575.815Feb 20, 2025May 12, 2025Aug 2, 2025Oct 23, 2025Jan 12, 2026Apr 4, 2026Jun 25, 2026

Evaluation results

MethodLinks
CW-IPOAlignment Algorithm=IPO, Model Pair=Qwen2.5-0.5B → Qwen2.5-14B2026.0389.5—————————
CW-rDPOAlignment Algorithm=rDPO, Model Pair=Qwen2.5-0.5B → Qwen2.5-14B2026.0389.4—————————
HumanAlignment Algorithm=IPO, Model Pair=Qwen2.5-0.5B → Qwen2.5-14B2026.0386.7—————————
WS-DPOAlignment Algorithm=IPO, Model Pair=Qwen2.5-0.5B → Qwen2.5-14B2026.0386.6—————————
WS-DPOAlignment Algorithm=rDPO, Model Pair=Qwen2.5-0.5B → Qwen2.5-14B2026.0385.8—————————
HumanAlignment Algorithm=rDPO, Model Pair=Qwen2.5-0.5B → Qwen2.5-14B2026.0385—————————
SEA2025.0583.33—————————
WS-DPOAlignment Algorithm=DPO, Model Pair=Qwen2.5-0.5B → Qwen2.5-14B2026.0380.7—————————
Re-Control2025.0580—————————
CW-DPOAlignment Algorithm=DPO, Model Pair=Qwen2.5-0.5B → Qwen2.5-14B2026.0379.7—————————
Greedy SFTModel=Llama 1B, Training Protocol=full finetuning2025.0976——-1.91——————
Greedy SFTModel=Llama 3B, Training Protocol=full finetuning2025.0976——-1.89——————
HumanAlignment Algorithm=DPO, Model Pair=Qwen2.5-0.5B → Qwen2.5-14B2026.0375.9—————————
CBS2025.0575—————————
Bo2Model=Llama 1B, Training Protocol=full finetuning2025.0971——-0.75——————
GEOALIGNBackbone=Qwen3-1.7B, Vs Baseline=BASE-GRPO2026.0668.36—————10.8320.82——
SFT2025.0566.67—————————
GEOALIGNBackbone=Qwen3-1.7B, Vs Baseline=PODS2026.0665.07—————16.4218.5——
Greedy DPOModel=Llama 1B, Training Protocol=full finetuning2025.0964——-0.63——————
DPO-HPSComparison Baseline=SFT, setting=fine-tuning2025.0263.875—————13.22522.9——
GEOALIGNBackbone=Qwen3-1.7B, Vs Baseline=PAR2026.0662.38—————14.1223.5——
GEOALIGNBackbone=Qwen3-1.7B, Vs Baseline=PF-PPO (BW)2026.0661.71—————11.4526.84——
GEOALIGNBackbone=Qwen3-1.7B, Vs Baseline=SEED-GRPO2026.0661.53—————12.0426.43——
GEOALIGNBackbone=Qwen3-4B, Vs Baseline=PODS2026.0659.2—————19.7221.08——
DPO-HPSComparison Baseline=DPO-BT, setting=fine-tuning2025.0258.712—————13.627.687——
DPO-HPSComparison Baseline=DPO-PL, setting=fine-tuning2025.0257.612—————13.87528.513——
Bo2Model=Llama 3B, Training Protocol=full finetuning2025.0957——0.09——————
CW-rDPOAlignment Algorithm=rDPO, Model Pair=OPT-125M → OPT-13B2026.0355.1—————————
Greedy DPOModel=Llama 3B, Training Protocol=full finetuning2025.0954——0.18——————
GEOALIGNBackbone=Qwen3-1.7B, Vs Baseline=PF-PPO (BR)2026.0653.87—————14.2731.87——
CW-DPOAlignment Algorithm=DPO, Model Pair=OPT-125M → OPT-13B2026.0351.9—————————
HumanAlignment Algorithm=rDPO, Model Pair=OPT-125M → OPT-13B2026.0346.4—————————
GEOALIGNBackbone=Qwen3-4B, Vs Baseline=PF-PPO (BW)2026.0645.95—————27.7326.32——
GEOALIGNBackbone=Qwen3-4B, Vs Baseline=SEED-GRPO2026.0645.95—————27.7326.32——
CW-IPOAlignment Algorithm=IPO, Model Pair=OPT-125M → OPT-13B2026.0345.8—————————
GEOALIGNBackbone=Qwen3-4B, Vs Baseline=BASE-GRPO2026.0645.79—————27.3226.89——
WS-DPOAlignment Algorithm=DPO, Model Pair=OPT-125M → OPT-13B2026.0344.6—————————
HumanAlignment Algorithm=DPO, Model Pair=OPT-125M → OPT-13B2026.0343.9—————————
HumanAlignment Algorithm=IPO, Model Pair=OPT-125M → OPT-13B2026.0343.7—————————
WS-DPOAlignment Algorithm=rDPO, Model Pair=OPT-125M → OPT-13B2026.0342.1—————————
GEOALIGNBackbone=Qwen3-4B, Vs Baseline=PAR2026.0639.88—————31.9928.13——
GEOALIGNBackbone=Qwen3-4B, Vs Baseline=PF-PPO (BR)2026.0639.67—————33.0127.32——
EFTModel=Llama 3B, Training Protocol=full finetuning2025.0935——0.47——————
WS-DPOAlignment Algorithm=IPO, Model Pair=OPT-125M → OPT-13B2026.0333.5—————————
EFTModel=Llama 1B, Training Protocol=full finetuning2025.0930——0.26——————
AADModel=Llama 1B, Training Protocol=full finetuning2025.09———-0.06——————
AADModel=Llama 3B, Training Protocol=full finetuning2025.09———0.29——————
BEEARAttack=BadEdit2026.04————————4.285.9
BEEARAttack=VPI2026.04————————5.585.7
BEEARAttack=BadChain2026.04————————5.285.1
BEEARAttack=EmbedX2026.04————————14.185.2
CROWAttack=BadEdit2026.04————————4.986.1
CROWAttack=VPI2026.04————————6.286
CROWAttack=BadChain2026.04————————5.885.5
CROWAttack=EmbedX2026.04————————14.885.8
CW-DPOWeak-to-Strong Model Pair=OPT-125M → OPT-1.3B2026.03—69.9————————
CW-DPOWeak-to-Strong Model Pair=Qwen2.5-0.5B → Qwen2.5-7B2026.03—75.2————————
DemoDefenseAttack=BadEdit2026.04————————15.185.8
DemoDefenseAttack=VPI2026.04————————5.586.9
DemoDefenseAttack=BadChain2026.04————————13.485.5
DemoDefenseAttack=EmbedX2026.04————————17.486.8
DPO-BTBase Algorithm=DPO, Sampling Strategy=BT, Setting=Transfer Learning2025.02——0.2190.437-5.053-5.736————
DPO-BTsetting=fine-tuning2025.02——0.230.4310.349-0.455————
DPO-HPSBase Algorithm=DPO, Sampling Strategy=HPS, Setting=Transfer Learning2025.02——0.2190.438-4.816-5.499————
DPO-HPSsetting=fine-tuning2025.02——0.2320.432.7232.04————
DPO-PLBase Algorithm=DPO, Sampling Strategy=PL, Setting=Transfer Learning2025.02——0.2190.435-5.122-5.638————
DPO-PLsetting=fine-tuning2025.02——0.230.43-0.795-1.448————
EXO-BTBase Algorithm=EXO, Sampling Strategy=BT, Setting=Transfer Learning2025.02——0.2030.442-4.825-5.508————
EXO-BTsetting=fine-tuning2025.02——0.2310.430.8160.215————
EXO-HPSBase Algorithm=EXO, Sampling Strategy=HPS, Setting=Transfer Learning2025.02——0.1970.444-4.583-5.266————
EXO-HPSsetting=fine-tuning2025.02——0.2320.4321.0790.41————
EXO-PLBase Algorithm=EXO, Sampling Strategy=PL, Setting=Transfer Learning2025.02——0.2220.436-5.183-6.166————
EXO-PLsetting=fine-tuning2025.02——0.2320.432-0.724-1.406————
FABEAttack=BadEdit2026.04————————18.284.1
FABEAttack=VPI2026.04————————14.583.8
FABEAttack=BadChain2026.04————————14.283.2
FABEAttack=EmbedX2026.04————————19.583.5
Human (100%)Weak-to-Strong Model Pair=OPT-125M → OPT-1.3B2026.03—71.9————————
Human (100%)Weak-to-Strong Model Pair=Qwen2.5-0.5B → Qwen2.5-7B2026.03—72.7————————
IPO-BTBase Algorithm=IPO, Sampling Strategy=BT, Setting=Transfer Learning2025.02——0.1890.446-21.821-22.504————
IPO-BTsetting=fine-tuning2025.02——0.2320.428-0.382-1.254————
IPO-HPSBase Algorithm=IPO, Sampling Strategy=HPS, Setting=Transfer Learning2025.02——0.1870.449-20.938-21.255————
IPO-HPSsetting=fine-tuning2025.02——0.2310.424-0.321-0.926————
IPO-PLBase Algorithm=IPO, Sampling Strategy=PL, Setting=Transfer Learning2025.02——0.1890.439-60.129-60.809————
IPO-PLsetting=fine-tuning2025.02——0.2230.429-5.199-5.264————
LLMBDAttack=BadEdit2026.04————————16.582.4
LLMBDAttack=VPI2026.04————————12.282.1
LLMBDAttack=BadChain2026.04————————11.986
LLMBDAttack=EmbedX2026.04————————18.882
NCA-BTBase Algorithm=NCA, Sampling Strategy=BT, Setting=Transfer Learning2025.02——0.2260.435-4.673-5.557————
NCA-BTsetting=fine-tuning2025.02——0.2290.432-1.702-3.121————
NCA-HPSBase Algorithm=NCA, Sampling Strategy=HPS, Setting=Transfer Learning2025.02——0.2240.436-5.378-5.562————
NCA-HPSsetting=fine-tuning2025.02——0.2310.432-0.822-1.268————
NCA-PLBase Algorithm=NCA, Sampling Strategy=PL, Setting=Transfer Learning2025.02——0.2140.433-61.084-61.762————
NCA-PLsetting=fine-tuning2025.02——0.2210.431-5.76-5.819————
No Def.Attack=BadEdit2026.04————————99.488.2
No Def.Attack=VPI2026.04————————96.588.8
No Def.Attack=BadChain2026.04————————95.187.9
No Def.Attack=EmbedX2026.04————————98.188.4
SFT Modelsetting=fine-tuning2025.02——0.220.425——————