uncertainty quantification

UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging ACL 2025 Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification ICLR 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 Valid Conformal Prediction for Dynamic GNNs ICLR 2025 Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits AISTATS 2025 Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs JMLR 2025 Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty AISTATS 2025 Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks AISTATS 2025 ViLU: Learning Vision-Language Uncertainties for Failure Prediction ICCV 2025 Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence UAI 2025 Why LVLMs Are More Prone to Hallucinations in Longer Responses: The Role of Context ICCV 2025 You Only Query Twice: Multimodal Rumor Detection via Evidential Evaluation from Dual Perspectives COLING 2025 Your Model is Overconfident, and Other Lies We Tell Ourselves ACL 2025 Zebra: In-Context Generative Pretraining for Solving Parametric PDEs ICML 2025 Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks JMLR 2025 Accelerating Convergence in Bayesian Few-Shot Classification ICML 2024 Achievable Fairness on Your Data With Utility Guarantees NeurIPS 2024 Active, anytime-valid risk controlling prediction sets NeurIPS 2024 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NeurIPS 2024 Active Prompting with Chain-of-Thought for Large Language Models ACL 2024 Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling ECCV 2024 Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NeurIPS 2024 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NeurIPS 2024 A Data-Driven Measure of Relative Uncertainty for Misclassification Detection ICLR 2024