confidence calibration

Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception ACL 2025 Towards Harmonized Uncertainty Estimation for Large Language Models ACL 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 Uncertainty-Based Data-Wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification WACV 2025 Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain ACL 2025 Why Uncertainty Estimation Methods Fall Short in RAG: An Axiomatic Analysis ACL 2025 Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024 BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts UAI 2024 Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection WACV 2024 Calibrating Long-form Generations From Large Language Models EMNLP 2024 Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024 Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs ICLR 2024 CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration CVPR 2024 Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR 2024 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models ACL 2024 Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024 Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024 Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance AAAI 2024 Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection ACL 2024 Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024 Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ACL 2024 Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024 Frustratingly Easy Test-Time Adaptation of Vision-Language Models NeurIPS 2024 How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? EACL 2024