expected calibration error

Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024 Fill In The Gaps: Model Calibration and Generalization with Synthetic Data EMNLP 2024 How Flawed Is ECE? An Analysis via Logit Smoothing ICML 2024 Information-theoretic Generalization Analysis for Expected Calibration Error NeurIPS 2024 LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses ICLR 2024 On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models ACL 2024 SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration EMNLP 2024 Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing ICLR 2024 SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models EACL 2024 Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation NAACL 2024 Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NeurIPS 2023 Calibrating the Rigged Lottery: Making All Tickets Reliable ICLR 2023 Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023 On Compositional Uncertainty Quantification for Seq2seq Graph Parsing ICLR 2023 Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models ICLR 2023 Proximity-Informed Calibration for Deep Neural Networks NeurIPS 2023 Sample-Dependent Adaptive Temperature Scaling for Improved Calibration AAAI 2023 Soft Augmentation for Image Classification CVPR 2023 T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023 The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers Interspeech 2023 Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification AAAI 2023 Variable-Based Calibration for Machine Learning Classifiers AAAI 2023 A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration CVPR 2022