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Question Answering on CondaQA (val)

77.5AccuracyLlama 3.1 70B
63.56467.18270.874.418Apr 21, 2026

Evaluation results

MethodLinks
Llama 3.1 70BLearning Paradigm=In-context learning, Few-shot=Few-shot, # Params.=70B2026.0477.543.383.761.854.9
GPT-4oLearning Paradigm=In-context learning, Few-shot=Few-shot2026.0472.934.478.752.647.9
Llama 3.1 8B + Best of (¬ATOMIC, ¬ANION)Learning Paradigm=In-context learning, Few-shot=Few-shot, # Params.=8B, Pre-training Corpora=¬ATOMIC or ¬ANION2026.0471.533.572.948.746.4
Qwen2 7B + Best of (¬ATOMIC, ¬ANION)Learning Paradigm=In-context learning, Few-shot=Few-shot, # Params.=7B, Pre-training Corpora=¬ATOMIC or ¬ANION2026.0469.732.771.246.345.5
Llama 3.1 8BLearning Paradigm=In-context learning, Few-shot=Few-shot, # Params.=8B2026.0468.731.56948.144.4
RoBERTa-large + Best of (¬ATOMIC, ¬ANION)Learning Paradigm=Fully supervised, # Params.=355M, Pre-training Corpora=¬ATOMIC or ¬ANION2026.0468.534.366.447.650.1
Llama 3.1 8B + ATOMIC + ANIONLearning Paradigm=In-context learning, Few-shot=Few-shot, # Params.=8B, Pre-training Corpora=ATOMIC + ANION2026.0467.627.569.544.341.4
RoBERTa-large + ATOMIC + ANIONLearning Paradigm=Fully supervised, # Params.=355M, Pre-training Corpora=ATOMIC + ANION2026.046732.965.646.348.1
UnifiedQA-v2-largeLearning Paradigm=Fully supervised, # Params.=770M2026.0466.730.26443.746.5
InstructGPT + COTLearning Paradigm=In-context learning, Few-shot=Few-shot2026.0466.327.364.245.144.9
OpenAI o1Learning Paradigm=In-context learning, Few-shot=Zero-shot2026.0465.324.967.443.838.6
Qwen2 7BLearning Paradigm=In-context learning, Few-shot=Few-shot, # Params.=7B2026.0465.124.965.939.739.2
RoBERTa-largeLearning Paradigm=Fully supervised, # Params.=355M2026.0464.929.661.941.445.8
Qwen2 7B + ATOMIC + ANIONLearning Paradigm=In-context learning, Few-shot=Few-shot, # Params.=7B, Pre-training Corpora=ATOMIC + ANION2026.0464.122.865.238.437.7