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uncertainty quantification

1365 papers

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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

The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025
Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025
Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment AAAI 2024
Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024
Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition AAAI 2024
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NIPS 2024
Revisiting Multimodal Transformers for Tabular Data with Text Fields ACL 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024
Uncertainty Regularized Evidential Regression AAAI 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NIPS 2024
Learning Uncertainty-Aware Temporally-Extended Actions AAAI 2024
Uncertainty-Aware Yield Prediction with Multimodal Molecular Features AAAI 2024
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance ACL 2024
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models SEMEVAL 2024
Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models ACL 2024
Selectively Answering Visual Questions ACL 2024
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model ACL 2024
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems AISTATS 2024
Active Prompting with Chain-of-Thought for Large Language Models ACL 2024
Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024