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confidence calibration

173 papers

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Co-occurring keywords

large language model (12755) uncertainty quantification (1365) uncertainty estimation (639) out-of-distribution detection (611) confidence estimation (162) neural network (6616) model calibration (225) question answering (2904) expected calibration error (44) calibration error (58)

Papers

Human-Aligned Calibration for AI-Assisted Decision Making NIPS 2023
Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment IJCAI 2023
Calibrating a Deep Neural Network with Its Predecessors IJCAI 2023
On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing ACL 2023
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm CVPR 2023
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles AISTATS 2023
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback EMNLP 2023
RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data EMNLP 2023
On the Calibration of Large Language Models and Alignment EMNLP 2023
BotPercent: Estimating Bot Populations in Twitter Communities EMNLP 2023
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing EMNLP 2023
Perception and Semantic Aware Regularization for Sequential Confidence Calibration CVPR 2023
PAC Prediction Sets for Large Language Models of Code ICML 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection CVPR 2023
Calibrating Multimodal Learning ICML 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality NIPS 2023
Calibrated Teacher for Sparsely Annotated Object Detection AAAI 2023
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection AAAI 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers ACL 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection NIPS 2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers EACL 2023
Multiclass Confidence and Localization Calibration for Object Detection CVPR 2023
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing EMNLP 2023
A Diachronic Perspective on User Trust in AI under Uncertainty EMNLP 2023
Proximity-Informed Calibration for Deep Neural Networks NIPS 2023