Twin-Pass Chain-of-Thought Ensembling cuts Expected Calibration Error by up to 88% in Gemma-3 models on TeleQnA, ORANBench, and srsRANBench.
When confidence meets accuracy: Explor- ing the effects of multiple performance indicators on trust in machine learning models
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Enhancing Confidence Estimation in Telco LLMs via Twin-Pass CoT-Ensembling
Twin-Pass Chain-of-Thought Ensembling cuts Expected Calibration Error by up to 88% in Gemma-3 models on TeleQnA, ORANBench, and srsRANBench.