confidence scoring

Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning AAAI 2026 CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025 COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation ICCV 2025 Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models ACL 2025 Confidence-guided Refinement Reasoning for Zero-shot Question Answering EMNLP 2025 Confidence Improves Self-Consistency in LLMs ACL 2025 HalluCounter: Reference-free LLM Hallucination Detection in the Wild! IJCNLP 2025 Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking AAAI 2025 Defending Against Disinformation Attacks in Open-Domain Question Answering EACL 2024 Overcoming Common Flaws in the Evaluation of Selective Classification Systems NeurIPS 2024 PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models EMNLP 2024 RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation EMNLP 2024 Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios ACL 2024 Gatekeeper to save COGS and improve efficiency of Text Prediction EMNLP 2023 Topics in Selective Classification AAAI 2023 CML: A Contrastive Meta Learning Method to Estimate Human Label Confidence Scores and Reduce Data Collection Cost ACL 2022 Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world Classification ACL 2022 Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP AAAI 2022 A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space COLING 2020 Calibrating Structured Output Predictors for Natural Language Processing ACL 2020 Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data CVPR 2020 Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Evaluation of Classification Models EMNLP 2020 Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019 Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019 Improving ASR Confidence Scores for Alexa Using Acoustic and Hypothesis Embeddings Interspeech 2019