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Uncertainty Quantification

805 papers

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Papers

Prediction-Centric Uncertainty Quantification via MMD AISTATS 2025 Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025 Probabilistic Conformal Prediction with Approximate Conditional Validity ICLR 2025 Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025 Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025 Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025 Reconsidering LLM Uncertainty Estimation Methods in the Wild ACL 2025 REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025 Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty EMNLP 2025 Retrieval-Augmented Generation with Estimation of Source Reliability EMNLP 2025 Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty? ACL 2025 Risk Controlled Image Retrieval AAAI 2025 SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation MIDL 2025 SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025 Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models EMNLP 2025 Selective Uncertainty Propagation in Offline RL AAAI 2025 Self-Ensemble: Mitigating Confidence Distortion for Large Language Models EMNLP 2025 Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined AAAI 2025 Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025 Semiparametric conformal prediction AISTATS 2025 SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025 SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models EMNLP 2025 Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification EMNLP 2025 Sparse Activations as Conformal Predictors AISTATS 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025