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Sentiment Analysis on SST-2 (Acc, ρepi, ρale)

91.2AccuracyCREDENCE-DeBERTa
88.49689.19889.990.602Apr 27, 2026

Evaluation results

MethodLinks
CREDENCE-DeBERTaCategory=Encoder, Backbone=DeBERTa, Parameters=66M–184M2026.0491.20.361-0.095
CBM + EnsembleCategory=CBM2026.0490.90.274-0.085
Standard CBMCategory=CBM2026.0490.60.238-0.111
P-CBMCategory=CBM2026.0490.50.252-0.095
CREDENCE-RoBERTaCategory=Encoder, Backbone=RoBERTa, Parameters=66M–184M2026.0490.40.342-0.112
Deep EnsembleCategory=General2026.0490.30.215-0.076
CBM + MC DropCategory=CBM2026.0490.30.261-0.098
CREDENCE-MistralCategory=LLM, Backbone=Mistral-7B, Parameters=3.8B–8B, Adapter=LoRA2026.0490.20.348-0.102
Temp. ScalingCategory=General2026.0490.10.124-0.102
CREDENCE-Llama-3Category=LLM, Backbone=Llama-3, Parameters=3.8B–8B, Adapter=LoRA2026.0489.90.339-0.098
MC DropoutCategory=General2026.0489.80.198-0.089
Evidential DLCategory=General2026.0489.20.156-0.095
CREDENCE-DistilBERTCategory=Encoder, Backbone=DistilBERT, Parameters=66M–184M2026.04890.316-0.128
CREDENCE-Phi-3Category=LLM, Backbone=Phi-3, Parameters=3.8B–8B, Adapter=LoRA2026.0488.60.325-0.118