model calibration

A Survey of Uncertainty Estimation Methods on Large Language Models ACL 2025 Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025 Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration CVPR 2025 Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025 Calibrated Disambiguation for Partial Multi-label Learning AAAI 2025 Calibrating Large Language Models with Sample Consistency AAAI 2025 COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025 Confidence Estimation for Error Detection in Text-to-SQL Systems AAAI 2025 Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks NAACL 2025 Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis ACL 2025 Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025 Extending Temperature Scaling with Homogenizing Maps JMLR 2025 Feature Clipping for Uncertainty Calibration AAAI 2025 Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable AISTATS 2025 Generative or Discriminative? Revisiting Text Classification in the Era of Transformers EMNLP 2025 GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering AAAI 2025 GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration ACL 2025 HaDeMiF: Hallucination Detection and Mitigation in Large Language Models ICLR 2025 IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance ICCV 2025 Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025 KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction EMNLP 2025 MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools NAACL 2025 Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs EMNLP 2025 Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA AAAI 2025 Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA EMNLP 2025