Hallucination Detection on RAGTruth MS MARCO (subsample) benchmark leaderboard · SOTA2 Research

Hallucination Detection on RAGTruth MS MARCO (subsample)

0.77AUROCINTRYGUEmin-max

Evaluation Results

Method	Links
INTRYGUEmin-max2026.03		0.77
MaxProb2026.03		0.75
INTRYGUEmin-max2026.03		0.73
INTRYGUEmin-max2026.03		0.72
ReDeEP2026.03		0.72
INTRYGUEmean2026.03		0.71
MaxProb2026.03		0.69
LSC2026.03		0.68
INTRYGUEmean2026.03		0.67
INTRYGUEmean2026.03		0.67
Focus2026.03		0.67
MaxEntropy2026.03		0.67
MaxProb2026.03		0.67
SAR2026.03		0.67
ReDeEP2026.03		0.66
LN-Entropy2026.03		0.65
MaxEntropy2026.03		0.65
Perplexity2026.03		0.64
Focus2026.03		0.63
LN-Entropy2026.03		0.63
ReDeEP2026.03		0.63
LN-Entropy2026.03		0.62
MaxEntropy2026.03		0.62
Semantic Entropy2026.03		0.62
Focus2026.03		0.61
EigenScore2026.03		0.6
Semantic Entropy2026.03		0.6
EigenScore2026.03		0.58
EigenScore2026.03		0.58
LSC2026.03		0.57
LSC2026.03		0.57
RAUQ2026.03		0.56
SAR2026.03		0.55
Semantic Density2026.03		0.55
Semantic Density2026.03		0.55
RAUQ2026.03		0.54
RAUQ2026.03		0.53
Semantic Density2026.03		0.53
Semantic Entropy2026.03		0.53
Attention Score2026.03		0.51
Attention Score2026.03		0.49
Perplexity2026.03		0.48
SAR2026.03		0.48
Attention Score2026.03		0.47
Perplexity2026.03		0.46