uncertainty quantification

1365 papers

Explore in graph

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

Risk Controlled Image Retrieval AAAI 2025

Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025

Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025

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

Conformalized Interval Arithmetic with Symmetric Calibration AAAI 2025

Conformal Thresholded Intervals for Efficient Regression AAAI 2025

CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought ACL 2025

Uncertainty-Aware Contrastive Decoding ACL 2025

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

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

Uncertainty-aware Knowledge Tracing AAAI 2025

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation AAAI 2025

Epistemic Bellman Operators AAAI 2025

Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework AAAI 2025

Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health AAAI 2025

KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025

Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models NAACL 2025

Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA AAAI 2025

Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025

Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy AAAI 2025

Feature Clipping for Uncertainty Calibration AAAI 2025

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training AAAI 2025

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

Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement EMNLP 2025

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