confidence estimation

Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks ACL 2024 Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep AAAI 2024 Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024 ProcSim: Proxy-Based Confidence for Robust Similarity Learning WACV 2024 Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness ACL 2024 ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation ICML 2024 Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty ACL 2024 RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation EMNLP 2024 Scoring with Confidence? – Exploring High-confidence Scoring for Saving Manual Grading Effort NAACL 2024 Selective “Selective Prediction”: Reducing Unnecessary Abstention in Vision-Language Reasoning ACL 2024 Selective Temporal Knowledge Graph Reasoning COLING 2024 Simple Token-Level Confidence Improves Caption Correctness WACV 2024 Sound Event Bounding Boxes Interspeech 2024 The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases EMNLP 2024 Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024 Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search AAAI 2024 WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives IJCAI 2024 Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System Interspeech 2023 A Close Look into the Calibration of Pre-trained Language Models ACL 2023 A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023 Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection CVPR 2023 Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation CVPR 2023 Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023 Confidence-based Ensembles of End-to-End Speech Recognition Models Interspeech 2023 Confidence-based Ensembling of Perspective-aware Models EMNLP 2023