conftrace_

calibration error

61 papers

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Also known as

CE

Co-occurring keywords

uncertainty quantification (1393) large language model (13587) confidence calibration (183) model calibration (232) confidence estimation (167) temperature scaling (67) neural network (6616) uncertainty estimation (648) probability calibration (57) out-of-distribution detection (617)

Papers

CARE: Confidence-aware Ratio Estimation for Medical Biomarkers MIDL 2026
Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA AAAI 2026
Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations ACL 2026
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models ACL 2026
MizanQA: A Benchmark for Multi-Answer Moroccan Legal QA EACL 2026
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025
Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models AAAI 2025
Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025
Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels EMNLP 2025
Interpreting the Effects of Quantization on LLMs IJCNLP 2025
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models CVPR 2025
MPF: Aligning and Debiasing Language Models post Deployment via Multi-Perspective Fusion AACL 2025
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain ACL 2025
LaSCal: Label-Shift Calibration without target labels NIPS 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024
Two fundamental limits for uncertainty quantification in predictive inference COLT 2024
Optimal Multiclass U-Calibration Error and Beyond NIPS 2024
Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection WACV 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
Fixing Overconfidence in Dynamic Neural Networks WACV 2024
LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma ACL 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024
Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024
When is Multicalibration Post-Processing Necessary? NIPS 2024
On Diversified Preferences of Large Language Model Alignment EMNLP 2024