conftrace_

expected calibration error

46 papers

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Also known as

ECE

Co-occurring keywords

model calibration (232) confidence calibration (183) large language model (13587) temperature scaling (67) uncertainty quantification (1393) confidence score (68) uncertainty estimation (648) confidence estimation (167) neural network calibration (6) calibration error (61)

Papers

On the Calibration of Image Semi-Supervised Learning Models AAAI 2026
BaseCal: Unsupervised Confidence Calibration via Base Model Signals ACL 2026
How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains EACL 2026
DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs ACL 2026
Optimizer Choice and Calibration for QARiB on Arabic-Script Social Media Offensive Language Detection EACL 2026
Calibration Across Layers: Understanding Calibration Evolution in LLMs EMNLP 2025
Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025
Confidence Calibration in Large Language Model-Based Entity Matching EMNLP 2025
Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models EMNLP 2025
COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier EMNLP 2025
Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025
Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025
Calibrating LLM Confidence by Probing Perturbed Representation Stability EMNLP 2025
Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024
Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models EACL 2024
Information-theoretic Generalization Analysis for Expected Calibration Error NIPS 2024
Credal Deep Ensembles for Uncertainty Quantification NIPS 2024
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models ACL 2024
Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation NAACL 2024
A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration NIPS 2024
Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? COLING 2024
SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration EMNLP 2024
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data EMNLP 2024