Uncertainty Quantification

Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts EMNLP 2024 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024 Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024 Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NeurIPS 2024 Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024 Producing and Leveraging Online Map Uncertainty in Trajectory Prediction CVPR 2024 Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NeurIPS 2024 Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model ACL 2024 Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness ACL 2024 Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024 Quantifying Uncertainty in Natural Language Explanations of Large Language Models AISTATS 2024 Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance ACL 2024 Revisiting Multimodal Transformers for Tabular Data with Text Fields ACL 2024 Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024 Robust Active Measuring under Model Uncertainty AAAI 2024 Robustly Train Normalizing Flows via KL Divergence Regularization AAAI 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024 Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024 SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024 Score-based generative models are provably robust: an uncertainty quantification perspective NeurIPS 2024 SEL-BALD: Deep Bayesian Active Learning with Selective Labels NeurIPS 2024 Selective Generation for Controllable Language Models NeurIPS 2024 Selectively Answering Visual Questions ACL 2024 Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024 Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NeurIPS 2024