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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models NAACL 2025
Extending Temperature Scaling with Homogenizing Maps JMLR 2025
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction WACV 2025
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models NAACL 2025
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models EMNLP 2025
Activation Subspaces for Out-of-Distribution Detection ICCV 2025
Uncertainty-Based Data-Wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification WACV 2025
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025
An Automatic Method to Estimate Correctness of RAG COLING 2025
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction ICCV 2025
ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 2025
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025
Deterministic Object Pose Confidence Region Estimation ICCV 2025
MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds EMNLP 2025
How To Make Your Cell Tracker Say "I dunno!" ICCV 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025
Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025
TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM Outputs EMNLP 2025
Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency EMNLP 2025
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation AAAI 2025
Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025
Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025
Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy AAAI 2025