Calibration

A No Free Lunch Theorem for Human-AI Collaboration AAAI 2025 ASR Confidence Estimation using True Class Lexical Similarity Score Interspeech 2025 Automatically Adaptive Conformal Risk Control AISTATS 2025 Beyond Averages: Learning with Annotator Disagreement in STS EMNLP 2025 Calibrated Regression Against An Adversary Without Regret UAI 2025 Clinical Measurements with Calibrated Instance-Dependent Confidence Interval MIDL 2025 Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies AISTATS 2025 Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration AISTATS 2025 FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes SemEval 2025 Instance-Wise Monotonic Calibration by Constrained Transformation UAI 2025 I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers AISTATS 2025 Reconciling Model Multiplicity for Downstream Decision Making ICLR 2025 Tailoring Mixup to Data for Calibration ICLR 2025 Task Calibration: Calibrating Large Language Models on Inference Tasks ACL 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 Active, anytime-valid risk controlling prediction sets NeurIPS 2024 Calibrated and Conformal Propensity Scores for Causal Effect Estimation UAI 2024 How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks UAI 2024 On Computationally Efficient Multi-Class Calibration COLT 2024 On Diversified Preferences of Large Language Model Alignment EMNLP 2024 QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier UAI 2024 Set Learning for Accurate and Calibrated Models ICLR 2024 Teaching LLMs to Abstain across Languages via Multilingual Feedback EMNLP 2024 Towards Calibrated Losses for Adversarial Robust Reject Option Classification ACML 2024 Two fundamental limits for uncertainty quantification in predictive inference COLT 2024