uncertainty calibration

Bayesian Adaptation Gym: A Benchmark for the Bayesian Low-Rank Adaptation of Multi-Modal Language Models UAI 2026 Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA ACL 2026 CURA: Clinical Uncertainty Risk Alignment for Language Model–Based Risk Prediction ACL 2026 Enhancing Accuracy of Uncertainty Estimation in Appearance-based Gaze Tracking with Probabilistic Evaluation and Calibration CVPR 2026 Exact Uncertainty Propagation via Gaussian Process Neurons UAI 2026 From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration AAAI 2026 RaUF: Learning the Spatial Uncertainty Field of Radar CVPR 2026 SAT-RRG: LLM-Guided Self-Adaptive Training for Radiology Report Generation with Token-Level Push-Pull Optimization CVPR 2026 Simplex-Aligned Diffusion with Cross-Granularity Interaction for Robust Medical Image Classification MIDL 2026 Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty AAAI 2026 A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025 Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models NAACL 2025 Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment EMNLP 2025 Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025 CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition ACL 2025 From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs ACL 2025 Improved Variational Inference in Discrete VAEs using Error Correcting Codes UAI 2025 Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025 Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models AAAI 2025 Map Space Belief Prediction for Manipulation-Enhanced Mapping RSS 2025 Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values ACL 2025 Parametric ρ-Norm Scaling Calibration AAAI 2025 Pixel-wise Divide and Conquer for Federated Vessel Segmentation IJCAI 2025 Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models UAI 2025 Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction AAAI 2025