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confidence calibration

173 papers

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Co-occurring keywords

large language model (12755) uncertainty quantification (1365) uncertainty estimation (639) out-of-distribution detection (611) confidence estimation (162) neural network (6616) model calibration (225) question answering (2904) expected calibration error (44) calibration error (58)

Papers

Parametric ρ-Norm Scaling Calibration AAAI 2025
Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic ACL 2025
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain ACL 2025
Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification ACL 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models ACL 2025
SafeConf: A Confidence-Calibrated Safety Self-Evaluation Method for Large Language Models EMNLP 2025
Uncertainty-Based Data-Wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification WACV 2025
Decoupling Metacognition from Cognition: A Framework for Quantifying Metacognitive Ability in LLMs AAAI 2025
Knowledge-Grounded Detection of Cryptocurrency Scams with Retrieval-Augmented LMs ACL 2025
Interpretable Failure Detection with Human-Level Concepts AAAI 2025
Atomic Calibration of LLMs in Long-Form Generations IJCNLP 2025
From Evidence to Belief: A Bayesian Epistemology Approach to Language Models NAACL 2025
Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025
GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration ACL 2025
Fine-grained Confidence Estimation for Spurious Correctness Detection in Large Language Models IJCNLP 2025
Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025
Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models NAACL 2025
LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models ACL 2025
Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries NAACL 2025
None of the Above, Less of the Right Parallel Patterns in Human and LLM Performance on Multi-Choice Questions Answering ACL 2025
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs NAACL 2025
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025
Calibrating LLM Confidence by Probing Perturbed Representation Stability EMNLP 2025
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs EMNLP 2025