Calibration
67 papers
Papers per year
2
2
2
5
5
11
16
24
'15
'20
'25
Papers
Adaptive Cumulative Mass Calibration with Conformal Prediction
UAI 2026
A Perfectly Truthful Calibration Measure
COLT 2026
Bandwidth Selection in Kernel Density Estimation for Model Calibration
UAI 2026
Bitzkrieg at SemEval-2026 Task 13: Calibration-Aware Dual CodeBERT for Multilingual Machine-Generated Code Detection
SemEval 2026
Bridging Domain Expertise and Generalization for Performance Estimation
CVPR 2026
Calibration-Aware Online Adaptation under Label Shift
UAI 2026
CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
MIDL 2026
ChulaNLP at SemEval-2026 Task 5: Regression-Calibrated LLM for Word-Sense Scoring
SemEval 2026
Confidence Should Be Calibrated More Than One Turn Deep
ACL 2026
Conformal Risk Minimization with Variance Reduction
UAI 2026
Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees
UAI 2026
Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations
ACL 2026
DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs
ACL 2026
Eigenvalue Calibration for Semantic Embeddings of Large Language Models
UAI 2026
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
CVPR 2026
Improving Calibration in Test-Time Prompt Tuning for Vision-Language Models via Data-Free Flatness-Aware Prompt Pretraining
CVPR 2026
MindFlayer at SemEval-2026 Task 13:LACR-ENS: Calibration-Aware Ensemble Routing for Cross-Language AI-Generated Code Detection
SemEval 2026
MINDS at SemEval-2026-Task 13: Robust Detection of Machine-Generated Code under Distribution Shift
SemEval 2026
SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning
CVPR 2026
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
ACL 2026
Three Types of Calibration using Properties and their Semantic and Formal Relationships
JMLR 2026
Towards Calibrating Prompt Tuning of Vision- Language Models
CVPR 2026
Toward Simultaneously Optimal Regret in U-Calibration
COLT 2026
When High Accuracy Hides Poor Calibration: Rethinking Confidence Evaluation in Transformer-Based Text Classification with Balanced Brier Score
ACL 2026
Analysis of the ABC Classification Backends for NIST SRE24
Interspeech 2025