model calibration

Uncertainty Weighted Gradients for Model Calibration CVPR 2025 Unlocking the Potential of Model Calibration in Federated Learning ICLR 2025 Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only ICLR 2025 Annealing Self-Distillation Rectification Improves Adversarial Training ICLR 2024 A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration NeurIPS 2024 Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation? EACL 2024 A Survey of Confidence Estimation and Calibration in Large Language Models NAACL 2024 Bag of Tricks for Fully Test-Time Adaptation WACV 2024 Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024 Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024 Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models ACL 2024 Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NeurIPS 2024 Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024 Calibrating Language Models with Adaptive Temperature Scaling EMNLP 2024 Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? COLING 2024 CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration EACL 2024 Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models ACL 2024 Copy Suppression: Comprehensively Understanding a Motif in Language Model Attention Heads EMNLP 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 Design Choices for Enhancing Noisy Student Self-Training WACV 2024 Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration ACL 2024 Dual Calibration-based Personalised Federated Learning IJCAI 2024 Energy-based Automated Model Evaluation ICLR 2024 Extreme Miscalibration and the Illusion of Adversarial Robustness ACL 2024 Fill In The Gaps: Model Calibration and Generalization with Synthetic Data EMNLP 2024