probability calibration

Adaptive Cumulative Mass Calibration with Conformal Prediction UAI 2026 Bitzkrieg at SemEval-2026 Task 13: Calibration-Aware Dual CodeBERT for Multilingual Machine-Generated Code Detection SemEval 2026 Eigenvalue Calibration for Semantic Embeddings of Large Language Models UAI 2026 Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration ACL 2026 Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026 Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification UAI 2026 Three Types of Calibration using Properties and their Semantic and Formal Relationships JMLR 2026 Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025 Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration AISTATS 2025 Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling ICLR 2025 FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes SemEval 2025 Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels AAAI 2025 Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics ACL 2025 Instance-Wise Monotonic Calibration by Constrained Transformation UAI 2025 KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction EMNLP 2025 Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025 Multi-group Uncertainty Quantification for Long-form Text Generation UAI 2025 ProbPose: A Probabilistic Approach to 2D Human Pose Estimation CVPR 2025 Proper losses regret at least 1/2-order JMLR 2025 Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex AISTATS 2024 Calibrated and Conformal Propensity Scores for Causal Effect Estimation UAI 2024 Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024 Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know EACL 2024 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024