uncertainty quantification

Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild AAAI 2026 Active3D: Active High-Fidelity 3D Reconstruction via Multi-Level Uncertainty Quantification AAAI 2026 AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text Generation ACL 2026 An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression UAI 2026 APIC: Amortized Physics-Informed Calibration using Neural Processes UAI 2026 A Polynomial Chaos Framework for Causal Discovery in Nonlinear Uncertain Systems CVPR 2026 Argument-Based Consistency in Toxicity Explanations of LLMs EACL 2026 BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026 BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling AAAI 2026 Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood JMLR 2026 Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026 Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance CVPR 2026 Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter CVPR 2026 Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment AAAI 2026 Beyond "I Don’t Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty ACL 2026 BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term Forecasting CVPR 2026 Calibration-Aware Policy Optimization for Reasoning LLMs ACL 2026 Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations MIDL 2026 CARE: Confidence-aware Ratio Estimation for Medical Biomarkers MIDL 2026 Causal Discovery with Metadata-Informed Latent Types UAI 2026 Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent JMLR 2026 COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees AAAI 2026 Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data CLeaR 2026 Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment EACL 2026 Conformal Online Model Aggregation UAI 2026