confidence calibration

HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task SemEval 2024 Improving GNN Calibration with Discriminative Ability: Insights and Strategies AAAI 2024 LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NeurIPS 2024 Mirror-Consistency: Harnessing Inconsistency in Majority Voting EMNLP 2024 Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024 On the Limitations of Temperature Scaling for Distributions with Overlaps ICLR 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NeurIPS 2024 Plugin estimators for selective classification with out-of-distribution detection ICLR 2024 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024 RCL: Reliable Continual Learning for Unified Failure Detection CVPR 2024 Reconfidencing LLMs from the Grouping Loss Perspective EMNLP 2024 SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing ICLR 2024 TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation AAAI 2024 Test-Time Linear Out-of-Distribution Detection CVPR 2024 The Open-World Lottery Ticket Hypothesis for OOD Intent Classification COLING 2024 Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification ACL 2024 Towards Calibrated Robust Fine-Tuning of Vision-Language Models NeurIPS 2024 Towards Uncertainty-Aware Language Agent ACL 2024 Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024 VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning IJCAI 2024 When Quantization Affects Confidence of Large Language Models? NAACL 2024 When to Trust LLMs: Aligning Confidence with Response Quality ACL 2024 A Diachronic Perspective on User Trust in AI under Uncertainty EMNLP 2023