Uncertainty Quantification

Boosted Conformal Prediction Intervals NeurIPS 2024 Calibrating Long-form Generations From Large Language Models EMNLP 2024 Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024 Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know EACL 2024 Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024 Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner EMNLP 2024 CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving AAAI 2024 Characterizing LLM Abstention Behavior in Science QA with Context Perturbations EMNLP 2024 CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration CVPR 2024 Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation EACL 2024 Combining Statistical Depth and Fermat Distance for Uncertainty Quantification NeurIPS 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NeurIPS 2024 Conformal Autoregressive Generation: Beam Search with Coverage Guarantees AAAI 2024 Conformal Contextual Robust Optimization AISTATS 2024 Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024 Conformal Inverse Optimization NeurIPS 2024 Conformalized Multiple Testing after Data-dependent Selection NeurIPS 2024 Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024 Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR 2024 Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration AAAI 2024 Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024 Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024 ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024