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Science Question Answering on ARC Challenge

96AccuracyQwen-3-30B-A3B
71.0477.528490.48May 17, 2024Sep 14, 2024Jan 13, 2025May 13, 2025Sep 11, 2025Jan 9, 2026May 10, 2026

Evaluation results

MethodLinks
Qwen-3-30B-A3BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0296——
Qwen-3-32BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0295.2——
BaseZero-shot=true2026.0395——
Llama 3.1 InstructModel Scale=70B2025.0494.7——
Llama-3.3-70BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0294.5——
Qwen-3-14BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0294.3——
Llama 3 InstructModel Scale=70B2025.0494.3——
ParamΔModel Scale=70B2025.0494.3——
SFTZero-shot=true2026.0394——
OLMo-3.1-32BOpenness=Fully-open, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0293.6——
Gemma-3-27BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0293.5——
Mistral-3.2-24BOpenness=Open-weights, Regional Origin=European, Post-training=Instruction-tuned2026.0293.4——
GRPOZero-shot=true2026.0393——
Gemma-3-12BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0292.3——
ConfidenceModel=Qwen-2.5-7B-Instruct2026.0191.1——
EuroLLM-22BOpenness=Fully-open, Regional Origin=European, Post-training=Instruction-tuned2026.0289.8——
HD + ConfidenceModel=Qwen-2.5-7B-Instruct2026.0189——
HD + Learn2AggModel=Qwen-2.5-7B-Instruct2026.0188.9——
Llama 3.1 BaseModel Scale=70B2025.0488.9——
High DiversityModel=Qwen-2.5-7B-Instruct2026.0188.4——
Debate 5 × 5Model=Qwen-2.5-7B-Instruct2026.0188.2——
ConfidenceModel=Llama-3.1-8B-Instruct2026.0188.2——
Majority VoteModel=Qwen-2.5-7B-Instruct2026.0188——
Ministral-3-8BModel Category=Text-Experts, Model Scale=8B2026.0388——
High DiversityModel=Llama-3.1-8B-Instruct2026.0187.7——
Llama 3 BaseModel Scale=70B2025.0487.7——
OLMo-3-7BOpenness=Fully-open, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0286.1——
EuroLLM-9BOpenness=Fully-open, Regional Origin=European, Post-training=Instruction-tuned2026.0285.9——
HyperCLOVAX-8B-OmniModel Category=Unified, Model Scale=8B, Native speech I/O=true, Result Reproducibility=reproduced2026.0385.8——
HD + ConfidenceModel=Llama-3.1-8B-Instruct2026.0185.4——
single-threshold support basisModel=LLaDA-8B-Instruct, Degree of Chebyshev polynomial=62025.1084.98——
Apertus-70BOpenness=Fully-open, Regional Origin=European, Post-training=Instruction-tuned2026.0284.7——
Exact computationModel=LLaDA-8B-Instruct2025.1084.64——
Llama-3.1-8BOpenness=Open-weights, Regional Origin=Non-European, Post-training=Instruction-tuned2026.0284.3——
Llama 3.1 InstructModel Scale=8B2025.0483.7——
Majority VoteModel=Llama-3.1-8B-Instruct2026.0183.2——
HD + Learn2AggModel=Llama-3.1-8B-Instruct2026.0183.2——
ParamΔModel Scale=8B2025.0482.8——
single-threshold support basisModel=LLaDA-8B-Instruct, Degree of Chebyshev polynomial=42025.1082.42——
Qwen-14Brole=Teacher model, shot=5-shot2024.0782.25——
LLaDABudget=1/1, Evaluation Protocol=fully generative2026.0582.2——
Llama 3 InstructModel Scale=8B2025.0482.1——
ME-DLM Stage 3Budget=1/1, Evaluation Protocol=fully generative2026.0581.1——
ME-DLM Stage 3Budget=1/2, Evaluation Protocol=fully generative2026.0580.7——
Qwen-1.5 14BRole=Teacher2024.0780.59——
Qwen-1.5 14BModel Type=Teacher2024.0780.59——
Single ModelModel=Qwen-2.5-7B-Instruct2026.0180.5——
Debate 5 × 5Model=Llama-3.1-8B-Instruct2026.0180.2——
ME-DLM Stage 2Budget=1/1, Evaluation Protocol=fully generative2026.0579.7——
Clean FT (No WM)Model=Llama-3-8B, Condition=Original (Pre-Attack)2026.0379.6——
Weight Quant.Model=Mistral-7B, Condition=Original (Pre-Attack)2026.0379.6——
Weight Quant.Model=Qwen2.5-7B, Condition=Original (Pre-Attack)2026.0378.8——
Weight Quant.Model=Qwen2.5-7B, Condition=Attacked (Post-Attack)2026.0378.8——
EmMarkModel=Qwen2.5-7B, Condition=Attacked (Post-Attack)2026.0378.6——
EmMarkModel=Mistral-7B, Condition=Original (Pre-Attack)2026.0378.4——
Hard-routing MoEBackbone=Qwen2.5-7B-Instruct, # Params (%)=14.2G (100%), # Trans. (%)=14.2G (100%), Fine-tuning setting=DFL, Rank (rl)=322026.0278.21——
GPT3.5Source Task=RACE2024.0578.2——
Single ModelModel=Llama-3.1-8B-Instruct2026.0178——
GPT3.5Source Task=BoolQ2024.0577.8——
EmMarkModel=Llama-3-8B, Condition=Attacked (Post-Attack)2026.0377.8——
EmMarkModel=Llama-3-8B, Condition=Original (Pre-Attack)2026.0377.4——
Weight Quant.Model=Llama-3-8B, Condition=Attacked (Post-Attack)2026.0377.4——
GPT3.5Source Task=ARC-Easy2024.0577.2——
Naive Top-kModel=Qwen2.5-7B, Condition=Original (Pre-Attack)2026.0377.2——
EmMarkModel=Mistral-7B, Condition=Attacked (Post-Attack)2026.0377.2——
LLaDABudget=1/2, Evaluation Protocol=fully generative2026.0577.2——
Naive Top-kModel=Qwen2.5-7B, Condition=Attacked (Post-Attack)2026.0377——
Clean FT (No WM)Model=Mistral-7B, Condition=Original (Pre-Attack)2026.0377——
Full DIFSWModel=Mistral-7B, Condition=Original (Pre-Attack)2026.0377——
Weight Quant.Model=Mistral-7B, Condition=Attacked (Post-Attack)2026.0376.6——
Naive Top-kModel=Llama-3-8B, Condition=Attacked (Post-Attack)2026.0376.4——
Naive Top-kModel=Mistral-7B, Condition=Original (Pre-Attack)2026.0376.4——
Full DIFSWModel=Mistral-7B, Condition=Attacked (Post-Attack)2026.0376.4——
Sparse-and-Orthogonal LoRABackbone=Qwen2.5-7B-Instruct, # Params (%)=87M (0.60%), # Trans. (%)=42M (0.30%), Fine-tuning setting=DFL, Rank (rl)=322026.0276.23——
GPT3.5Source Task=Commonsense-QA2024.0576.2——
Weight Quant.Model=Llama-3-8B, Condition=Original (Pre-Attack)2026.0376——
Full DIFSWModel=Llama-3-8B, Condition=Attacked (Post-Attack)2026.0376——
Full DIFSWModel=Llama-3-8B, Condition=Original (Pre-Attack)2026.0375.8——
Clean FT (No WM)Model=Qwen2.5-7B, Condition=Original (Pre-Attack)2026.0375.8——
Apertus-8BOpenness=Fully-open, Regional Origin=European, Post-training=Instruction-tuned2026.0275.5——
GPT3.5Source Task=MNLI2024.0575.2——
Sparse-and-Orthogonal LoRA (Single)Backbone=Qwen2.5-7B-Instruct, # Params (%)=87M (0.60%), # Trans. (%)=42M (0.30%), Fine-tuning setting=DFL, Rank (rl)=322026.0275.17——
GPT3.5Source Task=Zero-shot2024.0574.6——
GPT3.5Source Task=AG-news2024.0574.4——
ME-DLM Stage 2Budget=1/2, Evaluation Protocol=fully generative2026.0574.4——
Naive Top-kModel=Llama-3-8B, Condition=Original (Pre-Attack)2026.0374.2——
GPT3.5Source Task=QQP2024.0574——
ME-DLM Stage 3Budget=1/4, Evaluation Protocol=fully generative2026.0573.6——
Full DIFSWModel=Qwen2.5-7B, Condition=Original (Pre-Attack)2026.0373.4——
FPFTBackbone=Qwen2.5-7B-Instruct, # Params (%)=14.2G (100%), # Trans. (%)=14.2G (100%), Fine-tuning setting=DFL, Rank (rl)=322026.0273.29——
Full DIFSWModel=Qwen2.5-7B, Condition=Attacked (Post-Attack)2026.0373.2——
Naive Top-kModel=Mistral-7B, Condition=Attacked (Post-Attack)2026.0373.2——
GPT3.5Source Task=SST22024.0572.6——
EmMarkModel=Llama-2-7B, Condition=Attacked (Post-Attack)2026.0372.6——
Weight Quant.Model=Llama-2-7B, Condition=Attacked (Post-Attack)2026.0372.4——
EmMarkModel=DeepSeek-7B, Condition=Attacked (Post-Attack)2026.0372.4——
Qwen-1.5 7BRole=Teacher2024.0772.3——
Naive Top-kModel=Llama-2-7B, Condition=Original (Pre-Attack)2026.0372.2——
Clean FT (No WM)Model=DeepSeek-7B, Condition=Original (Pre-Attack)2026.0372.2——
EmMarkModel=Qwen2.5-7B, Condition=Original (Pre-Attack)2026.0372——