expected calibration error

Adaptive Cumulative Mass Calibration with Conformal Prediction UAI 2026 A Perfectly Truthful Calibration Measure COLT 2026 BaseCal: Unsupervised Confidence Calibration via Base Model Signals ACL 2026 DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs ACL 2026 How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains EACL 2026 On the Calibration of Image Semi-Supervised Learning Models AAAI 2026 Optimizer Choice and Calibration for QARiB on Arabic-Script Social Media Offensive Language Detection EACL 2026 Towards Calibrating Prompt Tuning of Vision- Language Models CVPR 2026 Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models EMNLP 2025 Calibrating LLM Confidence by Probing Perturbed Representation Stability EMNLP 2025 Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025 Can a calibration metric be both testable and actionable? COLT 2025 COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025 Confidence Calibration in Large Language Model-Based Entity Matching EMNLP 2025 Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025 GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks ICLR 2025 Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint ICLR 2025 Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025 Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025 Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach ICML 2025 Towards Certification of Uncertainty Calibration under Adversarial Attacks ICLR 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration NeurIPS 2024 Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? COLING 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024