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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024
Large Language Models Must Be Taught to Know What They Don’t Know NIPS 2024
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning ACL 2024
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024
Conformal Contextual Robust Optimization AISTATS 2024
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024
DORY: Deliberative Prompt Recovery for LLM ACL 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NIPS 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024
Interpretability Guarantees with Merlin-Arthur Classifiers AISTATS 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024
Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024
Quantifying Uncertainty in Natural Language Explanations of Large Language Models AISTATS 2024
Boosted Conformal Prediction Intervals NIPS 2024
Making Pre-trained Language Models both Task-solvers and Self-calibrators ACL 2023
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles AISTATS 2023
AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification AAAI 2023
A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023
Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023
Uncertainty-Aware Image Captioning AAAI 2023
Conformalized Unconditional Quantile Regression AISTATS 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction ACL 2023