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Calibration on TriviaQA

0.0845Brier ScoreProbe (train on TriviaQA)
0.0751160.1384580.20180.265142Jan 6, 2026Jan 12, 2026Jan 19, 2026Jan 25, 2026Feb 1, 2026Feb 7, 2026Feb 14, 2026

Evaluation results

MethodLinks
Probe (train on TriviaQA)LLM=gpt-oss-20b, Cost=< 12026.020.0845——
Probe (train on TriviaQA)LLM=Qwen3-8B, Cost=< 12026.020.1079——
Probe (train on TriviaQA)LLM=Olmo-3-7B-Instruct, Cost=< 12026.020.1113——
Verbalized confidenceLLM=gpt-oss-20b, Cost=L2026.020.1266——
Probe (train on MATH)LLM=gpt-oss-20b, Cost=< 12026.020.1577——
Temp. ScalingModel=Llama3.1-8B-Instruct, Unsupervised=false2026.010.17020.0226—
BaseCal-ReEvalModel=Llama3.1-8B-Instruct, Unsupervised=true2026.010.17240.0309—
Probe (train on GSM8K)LLM=gpt-oss-20b, Cost=< 12026.020.1756——
BaseCal-ReEvalModel=Qwen2.5-7B-Instruct, Unsupervised=true2026.010.17890.112—
BaseCal-ProjModel=Llama3.1-8B-Instruct, Unsupervised=true2026.010.1850.0387—
Temp. ScalingModel=Qwen2.5-7B-Instruct, Unsupervised=false2026.010.1850.0895—
Probe (train on GSM8K)LLM=Qwen3-8B, Cost=< 12026.020.1885——
BaseCal-ProjModel=Qwen2.5-7B-Instruct, Unsupervised=true2026.010.19230.1393—
P(True)LLM=Olmo-3-7B-Instruct, Cost=12026.020.1933——
Temp. ScalingModel=Olmo2-7B-Instruct, Unsupervised=false2026.010.19390.0286—
BaseCal-ReEvalModel=Olmo2-7B-Instruct, Unsupervised=true2026.010.19470.0269—
BaseCal-ProjModel=Olmo2-7B-Instruct, Unsupervised=true2026.010.19660.0314—
VerbalizationModel=Llama3.1-8B-Instruct, Unsupervised=true2026.010.20460.1769—
VanillaModel=Llama3.1-8B-Instruct, Unsupervised=true2026.010.2090.1725—
P(True)LLM=gpt-oss-20b, Cost=L2026.020.2101——
P(true)Model=Qwen2.5-7B-Instruct, Unsupervised=true2026.010.21340.2113—
Semantic EntropyModel=Olmo2-7B-Instruct, Unsupervised=true2026.010.21970.191—
Semantic EntropyModel=Llama3.1-8B-Instruct, Unsupervised=true2026.010.23020.2443—
P(true)Model=Olmo2-7B-Instruct, Unsupervised=true2026.010.23930.2055—
Verbalized confidenceLLM=Qwen3-8B, Cost=L2026.020.2431——
VanillaModel=Olmo2-7B-Instruct, Unsupervised=true2026.010.24650.2121—
P(true)Model=Llama3.1-8B-Instruct, Unsupervised=true2026.010.25060.2476—
Probe (train on MATH)LLM=Olmo-3-7B-Instruct, Cost=< 12026.020.255——
Verbalized confidenceLLM=Olmo-3-7B-Instruct, Cost=L2026.020.2624——
Uniform random baselineLLM=gpt-oss-20b, Cost=N/A2026.020.2639——
Probe (train on GSM8K)LLM=Olmo-3-7B-Instruct, Cost=< 12026.020.2648——
VerbalizationModel=Olmo2-7B-Instruct, Unsupervised=true2026.010.27210.2054—
Uniform random baselineLLM=Olmo-3-7B-Instruct, Cost=N/A2026.020.2745——
Uniform random baselineLLM=Qwen3-8B, Cost=N/A2026.020.2865——
P(True)LLM=Qwen3-8B, Cost=12026.020.297——
Probe (train on MATH)LLM=Qwen3-8B, Cost=< 12026.020.2977——
VerbalizationModel=Qwen2.5-7B-Instruct, Unsupervised=true2026.010.30310.2889—
VanillaModel=Qwen2.5-7B-Instruct, Unsupervised=true2026.010.31180.3406—
Semantic EntropyModel=Qwen2.5-7B-Instruct, Unsupervised=true2026.010.31910.3583—
CAGE-CALType=Trained2026.05—4.250.8612
Collab. Cal.Type=LLM-elicited2026.05—8.840.863
DiscoUQ-LLMType=Trained2026.05—6.880.8219
GraphCalType=Trained2026.05—11.050.8006
LLM-Cal (+topo)Type=LLM-elicited, Topology=Included2026.05—8.710.8573
LLM-Cal (no topo)Type=LLM-elicited, Topology=None2026.05—7.990.8574
Plurality shareType=Post-hoc plurality2026.05—11.430.8189
Plurality share + IsotonicType=Post-hoc plurality, Technique=Isotonic regression2026.05—8.110.819
Plurality share + PlattType=Post-hoc plurality, Technique=Platt scaling2026.05—7.960.8189
Plurality share + Scaling-bin.Type=Post-hoc plurality, Technique=Scaling-binning2026.05—9.580.813
Scalar + GBTType=Trained2026.05—9.130.7924