calibration error

Bandwidth Selection in Kernel Density Estimation for Model Calibration UAI 2026 Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models ACL 2026 CARE: Confidence-aware Ratio Estimation for Medical Biomarkers MIDL 2026 Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations ACL 2026 MizanQA: A Benchmark for Multi-Answer Moroccan Legal QA EACL 2026 Near-optimal Swap Regret Minimization for Convex Losses COLT 2026 Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA AAAI 2026 Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels EMNLP 2025 CAP: Conformalized Abstention Policies for Context-Adaptive Risk Management for LLMs and VLMs ACML 2025 CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness ICLR 2025 Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies AISTATS 2025 Full Swap Regret and Discretized Calibration ALT 2025 Interpreting the Effects of Quantization on LLMs IJCNLP 2025 Mixed-Feature Logistic Regression Robust to Distribution Shifts AISTATS 2025 O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models CVPR 2025 Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025 Reassessing How to Compare and Improve the Calibration of Machine Learning Models ICLR 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models AAAI 2025 Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain ACL 2025 Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection WACV 2024 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints ICLR 2024 Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Fixing Overconfidence in Dynamic Neural Networks WACV 2024