uncertainty quantification

Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration ACL 2026 Eigenvalue Calibration for Semantic Embeddings of Large Language Models UAI 2026 Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation ACL 2026 Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition ACL 2026 Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data AAAI 2026 Evidential Deep Partial Label Learning to Quantify Disambiguation Uncertainty CVPR 2026 Evidential DualU-Net: Single-Pass Uncertainty for Cell Instance Segmentation MIDL 2026 Evidential Neural Radiance Fields CVPR 2026 Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026 Evolutionary Search for Automated Design of Uncertainty Quantification Methods ACL 2026 Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling JMLR 2026 Fairness Uncertainty Quantification: A Constrained Stochastic Optimization Perspective UAI 2026 FAMDR: Feature-Aligned Multimodal Denoising for Reliable Diagnostic Reconciliation in Medical Imaging AAAI 2026 FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026 FisherPoser: Human Motion Estimation from Sparse Observations with Hierarchical Region-Wise Fisher-Matrix Uncertainty Modeling CVPR 2026 ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model AAAI 2026 FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction AAAI 2026 Gaussian-Mixture Latent Flow for Stochastic 3D Human Motion Prediction CVPR 2026 GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes CVPR 2026 Gradual Uncertainty Refinement via Noise-Driven Curriculum: A Post-Hoc Meta-Model for Robust Uncertainty Quantification UAI 2026 GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026 HierUQ: Hierarchical Uncertainty Quantification with Adaptive Granularity Reconciliation for Degraded Image Classification CVPR 2026 Improving Generative Methods for Causal Evaluation via Simulation-Based Inference CLeaR 2026 Impute Missing Entries with Uncertainty AAAI 2026 IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation ACL 2026