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Instruction Following on AlpacaEval

98.4Win RateNone
73.38879.881586.37592.8685Nov 15, 2023Apr 17, 2024Sep 18, 2024Feb 20, 2025Jul 24, 2025Dec 25, 2025May 29, 2026

Evaluation results

MethodLinks
NoneModel=Gemini-3-flash2026.0598.4—————————————————————
SelfdefenseModel=Claude-4.5-haiku2026.0597.6—————————————————————
NoneModel=GPT-5-chat2026.0597.6—————————————————————
EvoDefenseModel=Gemini-3-flash2026.0597.6—————————————————————
BFPOBackbone=Llama3-8B-Instruct2025.1297.2—————————————————————
NoneModel=Claude-4.5-haiku2026.0596.8—————————————————————
SelfdefenseModel=GPT-5-chat2026.0596.8—————————————————————
IBProtectorModel=GPT-5-chat2026.0596.8—————————————————————
Llama3-8B-Instruct2025.1296.15—————————————————————
MoCANBackbone=Llama3-8B-Instruct2025.1295.71—————————————————————
TeacherModel=Qwen2.5-14B-Instruct2025.1095.7—————————————————————
MoCANBackbone=Qwen2.5-7B-Instruct2025.1295.28—————————————————————
BFPOBackbone=Qwen2.5-7B-Instruct2025.1295.22—————————————————————
EvoDefenseModel=GPT-5-chat2026.0595.2—————————————————————
SelfdefenseModel=Gemini-3-flash2026.0595.2—————————————————————
DPO-SBackbone=Qwen2.5-7B-Instruct2025.1294.47—————————————————————
DPO-HBackbone=Qwen2.5-7B-Instruct2025.1294.41—————————————————————
IBProtectorModel=Gemini-3-flash2026.0594.4—————————————————————
Qwen2.5-7B-Instruct2025.1294.35—————————————————————
PeCANBackbone=Qwen2.5-7B-Instruct2025.1294.35—————————————————————
NSPOBackbone=Qwen2.5-7B-Instruct2025.1294.33—————————————————————
DPO-MixBackbone=Llama3-8B-Instruct2025.1293.85—————————————————————
TeacherModel=Qwen2.5-7B-Instruct, Role=Teacher2025.1093.7—————————————————————
DPO-SBackbone=Llama3-8B-Instruct2025.1293.6—————————————————————
DPO-MixBackbone=Qwen2.5-7B-Instruct2025.1293.6—————————————————————
EvoDefenseModel=Claude-4.5-haiku2026.0593.6—————————————————————
NSPOBackbone=Llama3-8B-Instruct2025.1293.23—————————————————————
Qwen2.5-7BBackbone=Qwen2.5-7B2025.0693.08—————————————————————
Semantic SmoothModel=Claude-4.5-haiku2026.0592.7—————————————————————
Semantic SmoothModel=Gemini-3-flash2026.0592.7—————————————————————
NoneModel=Mistral-7B-v0.22026.0592.6—————————————————————
Self DefendModel=Claude-4.5-haiku2026.0591.9—————————————————————
DPO-HBackbone=Llama3-8B-Instruct2025.1291.61—————————————————————
W-DOORBackbone=Llama3-8B-Instruct2025.1291.61—————————————————————
MT (Teacher)Distillation Pair (Teacher Model -> Student Model)=Qwen2.5-7B-Inst -> Qwen2.5-1.5B2026.0491.43—————————————————————
EvoDefenseModel=Mistral-7B-v0.22026.0591.1—————————————————————
SmoothLLMModel=Gemini-3-flash2026.0590.3—————————————————————
Self DefendModel=GPT-5-chat2026.0589.5—————————————————————
IBProtectorModel=Claude-4.5-haiku2026.0588.7—————————————————————
Self DefendModel=Gemini-3-flash2026.0588.7—————————————————————
MT (Teacher)Distillation Pair (Teacher Model -> Student Model)=Qwen2-7B-Inst -> Qwen2-1.5B2026.0488.54—————————————————————
PeCANBackbone=Llama3-8B-Instruct2025.1288.45—————————————————————
Llama-2-ChatParameter Count=7B2024.0287.3—————————————————————
Semantic SmoothModel=GPT-5-chat2026.0587.1—————————————————————
DPOAlignment method=DPO, Base Model=LLaVA-1.5-13b2024.0286.4—————————————————————
SmoothLLMModel=GPT-5-chat2026.0586.3—————————————————————
SmoothLLMModel=Claude-4.5-haiku2026.0585.5—————————————————————
Self DefendModel=Mistral-7B-v0.22026.0585.4—————————————————————
TÜLU 2+DPOParameter Count=7B2024.0285.1—————————————————————
Aligned SFTModel=Llama2-13B, Setting=w/ training2023.118333.2————————————————————
Goal Prioritization w/o thoughtsModel=Llama2-13B, Setting=w/ training2023.118233.3————————————————————
Goal Prioritization w/o harmModel=Llama2-13B, Setting=w/ training2023.118232.6————————————————————
daDPOBackbone=Qwen2.5-1.5B2025.0681.49—————————————————————
Vicuna-1.5-13bModel=Vicuna-1.5-13b2024.0281.4—————————————————————
DistiLLM-2α=-5, Teacher Model=Qwen2.5-14B-Instruct, Student Model=Qwen2.5-1.5B-Instruct2025.1081.3—————————————————————
Vanilla SFTModel=Llama2-7B, Setting=w/ training2023.118131.4————————————————————
Aligned SFTModel=Llama2-7B, Setting=w/ training2023.118131.8————————————————————
LLAVA-RLHF-13bModel=LLAVA-RLHF-13b2024.0281—————————————————————
DistiLLM-2alpha=-5, Base Model=Qwen2.5-1.5B-Instruct2025.1080.7—————————————————————
NoneModel=LLaMA3-8B-instruct2026.0580.7—————————————————————
DistiLLM-2α=-1, Teacher Model=Qwen2.5-14B-Instruct, Student Model=Qwen2.5-1.5B-Instruct2025.1080.2—————————————————————
Vanilla SFTModel=Llama2-13B, Setting=w/ training2023.118032————————————————————
NoneModel=Qwen-7B-chat2026.0579.8—————————————————————
IBProtectorModel=LLaMA3-8B-instruct2026.0579.8—————————————————————
DistiLLM-2alpha=-1, Base Model=Qwen2.5-1.5B-Instruct2025.1079.5—————————————————————
RPOModel=Qwen2.5-7B, Baseline=SFT, LLM Judge=GPT-4o2025.0679.5—————————————————————
Warmup-Stable-Only (WSO)Model=1B, αpre=1.0, αmid=1.02026.0379.4—————————————————————
WSDModel=1B, αpre=1.0, αmid=0.02026.0379.4—————————————————————
LLaVA-1.5-13bModel=LLaVA-1.5-13b2024.0279.3—————————————————————
Goal PrioritizationModel=Llama2-13B, Setting=w/ training2023.117932.6————————————————————
rDPOBackbone=Qwen2.5-1.5B2025.0678.94—————————————————————
RPOModel=Qwen2.5-7B, Baseline=SFT, LLM Judge=Claude-3.52025.0678.9—————————————————————
dDPOBackbone=Qwen2.5-1.5B2025.0678.85—————————————————————
RPOModel=LLaMA-3-8B, Baseline=SFT, LLM Judge=GPT-4o2025.0678.8—————————————————————
WSDModel=1B, αpre=0.1, αmid=1.02026.0378.7—————————————————————
LLAMA-70B (QLORA)Model Training Status=Finetuned, Strategy=QLoRA2024.0378.6—————————————————————
GIFTModel Size=32B2025.1078.53———61.43———————3,327—————————
IPOBackbone=Mistral-7B, Framework=DPO2025.0278.2—————————————————————
EvoDefenseModel=LLaMA3-8B-instruct2026.0578.2—————————————————————
RPOModel=LLaMA-3-8B, Baseline=SFT, LLM Judge=Claude-3.52025.0678.1—————————————————————
NovelSelectBase Model=LLaMA-3-8B, Data Budget=10k samples2025.0278.07—————————————————————
Goal Prioritization w/o thoughtsModel=Llama2-7B, Setting=w/ training2023.117831.2————————————————————
EvoDefenseModel=Qwen-7B-chat2026.0578—————————————————————
RPOModel=Mistral-7B, Baseline=SFT, LLM Judge=GPT-4o2025.0677.6—————————————————————
Mistral-7B-RewardBackbone=Mistral-7B, Preference Acquisition=Reward model-based classification2025.0277.4—————————————————————
Goal PrioritizationModel=Llama2-7B, Setting=w/ training2023.117731.3————————————————————
RPOModel=Mistral-7B, Baseline=SFT, LLM Judge=Claude-3.52025.0676.9—————————————————————
WSDModel=1B, αpre=0.1, αmid=0.02026.0376.8—————————————————————
LinearModel=1B, αpre=0.1, αmid=1.02026.0376.3—————————————————————
VCRDDistillation Pair (Teacher Model -> Student Model)=Qwen2.5-7B-Inst -> Qwen2.5-1.5B2026.0476.02—————————————————————
Goal Prioritization w/o harmModel=Llama2-7B, Setting=w/ training2023.117631.1————————————————————
W-DOORBackbone=Qwen2.5-7B-Instruct2025.1275.96—————————————————————
QDITBase Model=LLaMA-3-8B, Data Budget=10k samples2025.0275.91—————————————————————
RandomBase Model=LLaMA-3-8B, Data Budget=10k samples2025.0275.47—————————————————————
K-meansBase Model=LLaMA-3-8B, Data Budget=10k samples2025.0275.46—————————————————————
K-Center-GreedyBase Model=LLaMA-3-8B, Data Budget=10k samples2025.0275.3—————————————————————
DistilLLMDistillation Pair (Teacher Model -> Student Model)=Qwen2.5-7B-Inst -> Qwen2.5-1.5B2026.0475.11—————————————————————
Self DefendModel=LLaMA3-8B-instruct2026.0575—————————————————————
Rejection-samplingAlignment method=Rejection-sampling, Base Model=LLaVA-1.5-13b2024.0274.9—————————————————————
dSFTBackbone=Qwen2.5-1.5B2025.0674.35—————————————————————