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

SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination Detection ACL 2025

Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025

Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization JMLR 2025

Jackpot: Approximating Uncertainty Domains with Adversarial Manifolds JMLR 2025

MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation SEMEVAL 2025

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

Leveraging NTPs for Efficient Hallucination Detection in VLMs IJCNLP 2025

Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks JMLR 2025

GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction RSS 2025

Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification RSS 2025

Towards Uncertainty Unification: A Case Study for Preference Learning RSS 2025

Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection AAAI 2025

Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies RSS 2025

SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination Detection SEMEVAL 2025

TorchCP: A Python Library for Conformal Prediction JMLR 2025

Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs IJCAI 2025

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

SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models EMNLP 2025

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

Conformalized Interval Arithmetic with Symmetric Calibration AAAI 2025

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

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

Towards Truly Open, Language-Specific, Safe, Factual, and Specialized Large Language Models COLING 2025

An Automatic Method to Estimate Correctness of RAG COLING 2025