confidence estimation

BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models ICLR 2025 Calibrating Large Language Models with Sample Consistency AAAI 2025 Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step NAACL 2025 Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models ACL 2025 Confidence-Aware Reasoning: Optimizing Self-Guided Thinking Trajectories in Large Reasoning Models EMNLP 2025 Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation EMNLP 2025 Confidence Estimation for Error Detection in Text-to-SQL Systems AAAI 2025 Confidence-guided Refinement Reasoning for Zero-shot Question Answering EMNLP 2025 Confidence Improves Self-Consistency in LLMs ACL 2025 Fine-grained Confidence Estimation for Spurious Correctness Detection in Large Language Models IJCNLP 2025 GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration ACL 2025 Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles ACL 2025 Interpretable Failure Detection with Human-Level Concepts AAAI 2025 Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering ACL 2025 MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness EMNLP 2025 MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools NAACL 2025 MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models ACL 2025 Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty? ACL 2025 Self-Training Large Language Models with Confident Reasoning EMNLP 2025 SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models EMNLP 2025 SpeechT-RAG: Reliable Depression Detection in LLMs with Retrieval-Augmented Generation Using Speech Timing Information ACL 2025 Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals ACL 2025 The Consistency Hypothesis in Uncertainty Quantification for Large Language Models UAI 2025 Towards Calibrated Deep Clustering Network ICLR 2025 Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement ICLR 2025