uncertainty quantification

Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty EMNLP 2025 Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models EMNLP 2025 Selective Label Enhancement Learning for Test-Time Adaptation ICLR 2025 Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined AAAI 2025 Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025 Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation NAACL 2025 SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025 SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models EMNLP 2025 Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification EMNLP 2025 SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination Detection SemEval 2025 SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation ICCV 2025 Sparse Activations as Conformal Predictors AISTATS 2025 Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025 Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior UAI 2025 Stochastic Online Conformal Prediction with Semi-Bandit Feedback ICML 2025 Stochastic Weight Sharing for Bayesian Neural Networks AISTATS 2025 Strategic Conformal Prediction AISTATS 2025 Strategies, Credences, and Shannon Entropy: Reasoning about Strategic Uncertainty in Stochastic Environments IJCAI 2025 StutterCut: Uncertainty-Guided Normalised Cut for Dysfluency Segmentation Interspeech 2025 Sustainable Wearables for Health Applications and Beyond via Uncertainty-Aware Energy Management IJCAI 2025 Targeted Learning for Variable Importance UAI 2025 Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic ACL 2025 Test-time Augmentation Improves Efficiency in Conformal Prediction CVPR 2025 The Benefits of Being Uncertain: Perplexity as a Signal for Naturalness in Multilingual Machine Translation EMNLP 2025 The Consistency Hypothesis in Uncertainty Quantification for Large Language Models UAI 2025