uncertainty quantification

Disentangling Subjectivity and Uncertainty for Hate Speech Annotation and Modeling using Gaze EMNLP 2025 Distribution-Free Data Uncertainty for Neural Network Regression ICLR 2025 Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework AAAI 2025 Do Large Language Models Know When Not to Answer in Medical QA? EMNLP 2025 Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models COLING 2025 Do not Abstain! Identify and Solve the Uncertainty ACL 2025 DUQ: Dual Uncertainty Quantification for Text-Video Retrieval IJCAI 2025 DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation AAAI 2025 Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models ACL 2025 Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs NAACL 2025 Efficient Biological Data Acquisition through Inference Set Design ICLR 2025 ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks UAI 2025 Enhancing Multi-View Classification Reliability with Adaptive Rejection AAAI 2025 Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training AAAI 2025 Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection AAAI 2025 Enhancing Uncertainty Quantification in Large Language Models through Semantic Graph Density UAI 2025 Ensuring Class-Conditional Coverage for Pathological Workflows (Student Abstract) AAAI 2025 Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification IJCAI 2025 Entropy-based Exploration Conduction for Multi-step Reasoning ACL 2025 Epistemic Bellman Operators AAAI 2025 Epistemic Uncertainty in Conformal Scores: A Unified Approach UAI 2025 ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models EMNLP 2025 Error-quantified Conformal Inference for Time Series ICLR 2025 Evaluating Large Language Models for Confidence-based Check Set Selection ACL 2025 Evaluating Theory of (an uncertain) Mind: Predicting the Uncertain Beliefs of Others from Conversational Cues ACL 2025