Uncertainty Quantification

Uncertainty Propagation on LLM Agent ACL 2025 Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025 Uncertainty Quantification for Large Language Models ACL 2025 UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation EMNLP 2025 Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models EMNLP 2025 UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER EMNLP 2025 Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain ACL 2025 Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling CVPR 2025 Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction WACV 2025 UvA-MT at WMT25 Evaluation Task: LLM Uncertainty as a Proxy for Translation Quality EMNLP 2025 Valid Bootstraps for Network Embeddings with Applications to Network Visualisation UAI 2025 Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks AISTATS 2025 ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 2025 Your Model is Overconfident, and Other Lies We Tell Ourselves ACL 2025 Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency EMNLP 2025 Active, anytime-valid risk controlling prediction sets NeurIPS 2024 Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation EMNLP 2024 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NeurIPS 2024 An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024 Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification NeurIPS 2024 Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024 A Unified Framework for Bayesian Optimization under Contextual Uncertainty ICLR 2024 BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference ICLR 2024 Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024 Better Batch for Deep Probabilistic Time Series Forecasting AISTATS 2024