uncertainty quantification

1365 papers

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Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models EMNLP 2025

A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs NAACL 2025

Strategies, Credences, and Shannon Entropy: Reasoning about Strategic Uncertainty in Stochastic Environments IJCAI 2025

Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025

Are You Sure You’re Positive? Consolidating Chain-of-Thought Agents with Uncertainty Quantification for Aspect-Category Sentiment Analysis ACL 2025

Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint) IJCAI 2025

AI-Assisted Triage and Decision Support of Head and Neck Cancer Screening and Diagnosis in Low-Resourced Settings IJCAI 2025

Deterministic Object Pose Confidence Region Estimation ICCV 2025

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025

SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation ICCV 2025

Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025

MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025

Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025

Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025

Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025

RPMIL: Rethinking Uncertainty-Aware Probabilistic Multiple Instance Learning for Whole Slide Pathology Diagnosis IJCAI 2025

MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds EMNLP 2025

Bayesian Score Calibration for Approximate Models JMLR 2025

Learning Normal Flow Directly From Events ICCV 2025

ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 2025

Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined AAAI 2025

CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction AAAI 2025

Neural Conformal Control for Time Series Forecasting AAAI 2025

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction AAAI 2025

BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution AAAI 2025