{"total":33,"rows":[{"id":"2306.13063","title":"Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs","created":"2023-06-22","cited_by_count":974,"area":null},{"id":"2112.10327","title":"Classifier Calibration: A survey on how to assess and improve predicted class probabilities","created":"2021-12-20","cited_by_count":73,"area":null},{"id":"2306.02738","title":"A Large-Scale Study of Probabilistic Calibration in Neural Network Regression","created":"2023-06-05","cited_by_count":27,"area":null},{"id":"2306.04590","title":"Proximity-Informed Calibration for Deep Neural Networks","created":"2023-06-07","cited_by_count":18,"area":null},{"id":"2505.02874","title":"Uncertainty Quantification for Machine Learning in Healthcare: A Survey","created":"2025-05-04","cited_by_count":14,"area":null},{"id":"2302.06495","title":"Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts","created":"2023-02-13","cited_by_count":12,"area":null},{"id":"2305.01481","title":"Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement","created":"2023-05-02","cited_by_count":11,"area":null},{"id":"2312.08589","title":"Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors","created":"2023-12-14","cited_by_count":11,"area":null},{"id":"2311.17105","title":"On the Calibration of Human Pose Estimation","created":"2023-11-28","cited_by_count":10,"area":null},{"id":"2301.05983","title":"On the role of Model Uncertainties in Bayesian Optimization","created":"2023-01-14","cited_by_count":8,"area":null},{"id":"2403.05600","title":"Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2403.11964","title":"Probabilistic Calibration by Design for Neural Network Regression","created":"2024-03-18","cited_by_count":6,"area":null},{"id":"2302.11961","title":"Sharp Calibrated Gaussian Processes","created":"2023-02-23","cited_by_count":5,"area":null},{"id":"2306.06221","title":"Conformalizing Machine Translation Evaluation","created":"2023-06-09","cited_by_count":5,"area":null},{"id":"2503.10628","title":"Uncertainty in Action: Confidence Elicitation in Embodied Agents","created":"2025-03-13","cited_by_count":5,"area":null},{"id":"2504.18395","title":"Three Types of Calibration with Properties and their Semantic and Formal Relationships","created":"2025-04-25","cited_by_count":5,"area":null},{"id":"2402.11279","title":"Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models","created":"2024-02-17","cited_by_count":4,"area":null},{"id":"2302.12196","title":"Calibrated Regression Against An Adversary Without Regret","created":"2023-02-23","cited_by_count":3,"area":null},{"id":"2306.00382","title":"Calibrated and Conformal Propensity Scores for Causal Effect Estimation","created":"2023-06-01","cited_by_count":3,"area":null},{"id":"2402.13765","title":"Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex","created":"2024-02-21","cited_by_count":3,"area":null},{"id":"2410.07014","title":"Optimizing Estimators of Squared Calibration Errors in Classification","created":"2024-10-09","cited_by_count":3,"area":null},{"id":"2505.16636","title":"Multivariate Latent Recalibration for Conditional Normalizing Flows","created":"2025-05-22","cited_by_count":3,"area":null},{"id":"2407.18428","title":"Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift","created":"2024-07-25","cited_by_count":2,"area":null},{"id":"2402.00899","title":"Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees","created":"2024-01-31","cited_by_count":1,"area":null},{"id":"2403.05756","title":"Model-Free Local Recalibration of Neural Networks","created":"2024-03-09","cited_by_count":1,"area":null},{"id":"2409.18865","title":"Positional Encoder Graph Quantile Neural Networks for Geographic Data","created":"2024-09-27","cited_by_count":1,"area":null},{"id":"2504.19820","title":"Hierarchical Uncertainty-Aware Graph Neural Network","created":"2025-04-28","cited_by_count":1,"area":null},{"id":"2603.01168","title":"SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry","created":"2026-03-01","cited_by_count":1,"area":null},{"id":"2604.19530","title":"Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention","created":"2026-04-21","cited_by_count":1,"area":null},{"id":"2510.13450","title":"$L_2$-Regularized Empirical Risk Minimization Guarantees Small Smooth Calibration Error","created":"2025-10-15","cited_by_count":0,"area":null},{"id":"2510.21273","title":"Enforcing Calibration in Multi-Output Probabilistic Regression with Pre-rank Regularization","created":"2025-10-24","cited_by_count":0,"area":null},{"id":"2602.24201","title":"Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2608.17333","title":"SPACE: Sample-cloud Predictive Adaptive Conformal Ellipsoids for Multivariate Time-Series Forecasting","created":"2026-08-18","cited_by_count":0,"area":null}],"next_cursor":null}