confidence calibration

VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning ACL 2026 When High Accuracy Hides Poor Calibration: Rethinking Confidence Evaluation in Transformer-Based Text Classification with Balanced Brier Score ACL 2026 A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs NAACL 2025 ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions IJCAI 2025 Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models NAACL 2025 ASR Confidence Estimation using True Class Lexical Similarity Score Interspeech 2025 Atomic Calibration of LLMs in Long-Form Generations IJCNLP 2025 Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025 CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging CVPR 2025 Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels EMNLP 2025 Calibrating LLM Confidence by Probing Perturbed Representation Stability EMNLP 2025 Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025 COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement IJCAI 2025 Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025 ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025 Confidence Calibration in Large Language Model-Based Entity Matching EMNLP 2025 Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025 Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs ACL 2025 Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs EMNLP 2025 Do not Abstain! Identify and Solve the Uncertainty ACL 2025 Fine-grained Confidence Estimation for Spurious Correctness Detection in Large Language Models IJCNLP 2025 From Evidence to Belief: A Bayesian Epistemology Approach to Language Models NAACL 2025 GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration ACL 2025 HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection SemEval 2025 Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification ACL 2025