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Artificial Intelligence › Core AI ›

Uncertainty Quantification

56 papers

Papers per year

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43

Papers

Explaining Sources of Uncertainty in Automated Fact-Checking ACL 2026

CEBC: Conformal Evidence-Bounded Control for Low-Hallucination Vision–Language Generation ACL 2026

Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA ACL 2026

Detecting Hallucinations in Large Language Models via Internal Attention Divergence Signals ACL 2026

Thesis Proposal: Self-Adaptive and Epistemic Uncertainty-Guided ASR of Dense Intra-Sentential Code-Switched Speech for African Low-Resource Languages ACL 2026

Conformal LLM Routing with Distribution-Free Safety Guarantees ACL 2026

When Models Hesitate: Answer Instability as a Label-Free Uncertainty Signal for LLMs ACL 2026

Thesis Proposal: When Does an Agent Know It Is Lost? Confidence Trajectory Analysis for Tool-Using LLMs ACL 2026

Evolutionary Search for Automated Design of Uncertainty Quantification Methods ACL 2026

Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation ACL 2026

GeoGround: Uncertainty-Weighted Multi-Task Learning for Geo-Alignment and Address Defect Detection ACL 2026

CARE: Confidence-aware Ratio Estimation for Medical Biomarkers MIDL 2026

Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaptation of Medical Image Segmentation MIDL 2026

Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations MIDL 2026

Landmark Detection Uncertainty as a Reliability Weight for Robust Landmark-based 2D/3D Pelvic Pose Estimation MIDL 2026

CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images MIDL 2026

Impact of uncertainty maps on manual editing of rectal cancer segmentation in radiotherapy MIDL 2026

Universality of conformal prediction under the assumption of randomness ALT 2026

Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025

Conformal Prediction for Partial Label Learning AAAI 2025

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

Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025

SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024

Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions RSS 2024