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Predicting answer correctness research benchmarks · SOTA2 Research

Predicting answer correctness

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Baseline (Llama-3.1-8B)

0.904AUROC

199

Jun 2, 2026

0.727AUROC

48

May 7, 2026

attention divergence

0.945AUROC

3

May 7, 2026

attention divergence

0.804AUROC

3

May 7, 2026

TruthfulQA (val)

attention divergence

0.906AUROC

3

May 7, 2026

Popular datasets

TruthfulQA GSM8K HotpotQA TriviaQA

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