calibration error

Improving GNN Calibration with Discriminative Ability: Insights and Strategies AAAI 2024 InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States EMNLP 2024 LaSCal: Label-Shift Calibration without target labels NeurIPS 2024 LLMs for Targeted Sentiment in News Headlines: Exploring the Descriptive-Prescriptive Dilemma ACL 2024 On Diversified Preferences of Large Language Model Alignment EMNLP 2024 On the Distance from Calibration in Sequential Prediction COLT 2024 Optimal Multiclass U-Calibration Error and Beyond NeurIPS 2024 Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024 QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier UAI 2024 Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024 Two fundamental limits for uncertainty quantification in predictive inference COLT 2024 Understanding the Effects of Iterative Prompting on Truthfulness ICML 2024 When is Multicalibration Post-Processing Necessary? NeurIPS 2024 When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024 Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023 ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure ICLR 2023 SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023 Soft Augmentation for Image Classification CVPR 2023 Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks ICLR 2023 TCE: A Test-Based Approach to Measuring Calibration Error UAI 2023 When Does Optimizing a Proper Loss Yield Calibration? NeurIPS 2023 Word-level Confidence Estimation for CTC Models Interspeech 2023 A Consistent and Differentiable Lp Canonical Calibration Error Estimator NeurIPS 2022 A Data Cartography based MixUp for Pre-trained Language Models NAACL 2022 Assaying Out-Of-Distribution Generalization in Transfer Learning NeurIPS 2022