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

Do Large Language Models Know When Not to Answer in Medical QA? EMNLP 2025

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

ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty ACL 2025

Addressing Variability in Interlinear Glossed Texts with Linguistic Linked Data ACL 2025

Are you sure? Measuring models bias in content moderation through uncertainty EMNLP 2025

Uncertainty-guided Graph Contrastive Learning from a Unified Perspective IJCAI 2025

Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025

A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs EMNLP 2025

Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets EMNLP 2025

Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty EMNLP 2025

Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty? EMNLP 2025

ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions IJCAI 2025

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty CVPR 2025

Probabilistic Inertial Poser (ProbIP): Uncertainty-aware Human Motion Modeling from Sparse Inertial Sensors ICCV 2025

SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025

A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025

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

FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs EMNLP 2025

Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment ACL 2025

RAcQUEt: Unveiling the Dangers of Overlooked Referential Ambiguity in Visual LLMs EMNLP 2025

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

Uncertainty-Aware Gradient Stabilization for Small Object Detection ICCV 2025

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

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

EyeSeg: An Uncertainty-Aware Eye Segmentation Framework for AR/VR IJCAI 2025