Uncertainty Quantification
805 papers
Papers per year
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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