uncertainty quantification

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 QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier UAI 2024 QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024 Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance ACL 2024 Reference-free Hallucination Detection for Large Vision-Language Models EMNLP 2024 Rejection via Learning Density Ratios NeurIPS 2024 Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024 Revisiting Multimodal Transformers for Tabular Data with Text Fields ACL 2024 Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer CVPR 2024 Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024 Robust and Conjugate Gaussian Process Regression ICML 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024 SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024 Scalable Meta-Learning with Gaussian Processes AISTATS 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 Selectively Answering Visual Questions ACL 2024 Self-Calibrating Conformal Prediction NeurIPS 2024 Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space NeurIPS 2024 Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis MLHC 2024 Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024 Similarity-Navigated Conformal Prediction for Graph Neural Networks NeurIPS 2024