model calibration

FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation EMNLP 2024 Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing COLING 2024 Improving GNN Calibration with Discriminative Ability: Insights and Strategies AAAI 2024 Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment CVPR 2024 Information-theoretic Generalization Analysis for Expected Calibration Error NeurIPS 2024 Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024 IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation ICML 2024 Large Language Models Must Be Taught to Know What They Don’t Know NeurIPS 2024 LaSCal: Label-Shift Calibration without target labels NeurIPS 2024 Learning model uncertainty as variance-minimizing instance weights ICLR 2024 LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses ICLR 2024 MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024 MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift AAAI 2024 On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations Interspeech 2024 On the calibration of powerset speaker diarization models Interspeech 2024 On the Limitations of Temperature Scaling for Distributions with Overlaps ICLR 2024 On the Use of Anchoring for Training Vision Models NeurIPS 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NeurIPS 2024 Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024 Program-Aided Reasoners (Better) Know What They Know NAACL 2024 Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction ACL 2024 Schroedinger’s Threshold: When the AUC Doesn’t Predict Accuracy COLING 2024 Self-Calibrating Conformal Prediction NeurIPS 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 Set Learning for Accurate and Calibrated Models ICLR 2024