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Uncertainty Quantification

106 directly classified papers

Papers per year

Papers

Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings ACL 2025
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models EMNLP 2025
Early Concept Drift Detection via Prediction Uncertainty AAAI 2025
Dynamic Uncertainty Estimation for Offline Reinforcement Learning AAAI 2025
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined AAAI 2025
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection ICCV 2025
Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models EMNLP 2025
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models NAACL 2025
Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning AAAI 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025
CUGF: A Reliable and Fair Recommendation Framework AAAI 2025
Neural Conformal Control for Time Series Forecasting AAAI 2025
Feature Clipping for Uncertainty Calibration AAAI 2025
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025
Conformal Prediction for Partial Label Learning AAAI 2025
Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction EMNLP 2025
Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty JMLR 2025
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs NAACL 2025
SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025