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Factual question answering on TriviaQA

76.52AccuracyCorVer
9.003226.531644.0661.5884Apr 17, 2026Apr 23, 2026Apr 30, 2026May 7, 2026May 14, 2026May 21, 2026May 28, 2026

Evaluation results

MethodLinks
CorVerModel=Llama-3.1-8B2026.0576.52
RawModel=Llama-3.1-8B2026.0571.86
RLFHModel=Llama-3.1-8B2026.0569.55
FoRAGModel=Llama-3.1-8B2026.0569.4
KnowRLModel=Llama-3.1-8B2026.0568.41
CorVerModel=Qwen3-8B2026.0563.99
FSPOModel=Llama-3.1-8B2026.0563.43
RawModel=Qwen3-8B2026.0562.84
CorVerModel=Llama-3.2-3B2026.0562.24
FSPOModel=Qwen3-8B2026.0561.81
RLFHModel=Qwen3-8B2026.0561.39
FoRAGModel=Qwen3-8B2026.0561.34
KnowRLModel=Qwen3-8B2026.0560.92
FoRAGModel=Llama-3.2-3B2026.0560.66
RLFHModel=Llama-3.2-3B2026.0560.66
RawModel=Llama-3.2-3B2026.0555.39
CorVerModel=Qwen3-4B2026.0553.77
FSPOModel=Qwen3-4B2026.0552.88
FoRAGModel=Qwen3-4B2026.0552.65
RLFHModel=Qwen3-4B2026.0552.5
RawModel=Qwen3-4B2026.0551.14
KnowRLModel=Llama-3.2-3B2026.0549.6
KnowRLModel=Qwen3-4B2026.0540.9
FoLoRAFine-tuning dataset=MetaMathQA, Calibration data=NQ Open, Calibration model size=1.7B2026.0532.46
FoLoRAFine-tuning dataset=MetaMathQA, Calibration data=NQ Open2026.0532.41
FoLoRAFine-tuning dataset=MetaMathQA, Calibration data=NQ Open, Calibration model size=0.6B2026.0532.18
FoLoRAFine-tuning dataset=MetaMathQA, Calibration data=NQ Open, Calibration model size=4B2026.0532.07
LoRA-NullFine-tuning dataset=MetaMathQA, Calibration data=model-generated pretraining-proxy, Calibration model size=4B2026.0530.58
LoRA-NullFine-tuning dataset=MetaMathQA, Calibration data=model-generated pretraining-proxy2026.0530.53
MiLoRAFine-tuning dataset=MetaMathQA2026.0529.69
LoRAFine-tuning dataset=MetaMathQA2026.0529.62
OPLoRAFine-tuning dataset=MetaMathQA2026.0529.59
Qwen3-1.7BType=Base Model2026.0528.78
NAG_SmolLM3-3BTarget Setting=Single-Target, Backbone=SmolLM3-3B2026.0422.6
NAG_Qwen3-1.7BTarget Setting=Single-Target, Backbone=Qwen3-1.7B2026.0422.3
FSPOModel=Llama-3.2-3B2026.0522.28
NAG_Llama-3.2-3BTarget Setting=Single-Target, Backbone=Llama-3.2-3B2026.0421.3
BETRTarget Setting=Single-Target2026.0420.2
FineWeb-Edu2026.0420.1
NAG_SmolLM3-3BTarget Setting=Multi-Target, Backbone=SmolLM3-3B2026.0419.9
CorDAFine-tuning dataset=MetaMathQA, Calibration data=model-generated pretraining-proxy, Calibration model size=4B2026.0519.85
NAG_Qwen3-1.7BTarget Setting=Multi-Target, Backbone=Qwen3-1.7B2026.0419.2
NAG_Llama-3.2-3BTarget Setting=Multi-Target, Backbone=Llama-3.2-3B2026.0418
CorDAFine-tuning dataset=MetaMathQA, Calibration data=model-generated pretraining-proxy2026.0516.58
Random2026.0415.6
BETRTarget Setting=Multi-Target2026.0411.6