confidence calibration

Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics ACL 2025 Interpretable Failure Detection with Human-Level Concepts AAAI 2025 Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement ACL 2025 Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering ACL 2025 Knowledge Editing Induces Underconfidence in Language Models EMNLP 2025 Knowledge-Grounded Detection of Cryptocurrency Scams with Retrieval-Augmented LMs ACL 2025 Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries NAACL 2025 LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models ACL 2025 MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs EMNLP 2025 MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration ACL 2025 None of the Above, Less of the Right Parallel Patterns in Human and LLM Performance on Multi-Choice Questions Answering ACL 2025 On Calibration of LLM-based Guard Models for Reliable Content Moderation ICLR 2025 OpenViewer: Openness-Aware Multi-View Learning AAAI 2025 Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025 Parametric ρ-Norm Scaling Calibration AAAI 2025 Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025 Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling EMNLP 2025 Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models ACL 2025 Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes ACL 2025 SafeConf: A Confidence-Calibrated Safety Self-Evaluation Method for Large Language Models EMNLP 2025 Self-Ensemble: Mitigating Confidence Distortion for Large Language Models EMNLP 2025 T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning CVPR 2025 Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals ACL 2025 Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic ACL 2025 The Confidence Paradox: Can LLM Know When It’s Wrong? IJCNLP 2025