conftrace_

selective prediction

43 papers

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Co-occurring keywords

uncertainty quantification (1393) confidence estimation (167) question answering (2963) out-of-distribution detection (617) large language model (13587) visual question answering (1017) selective question answering (6) confidence calibration (183) natural language inference (1287) model calibration (232)

Papers

When Models Hesitate: Answer Instability as a Label-Free Uncertainty Signal for LLMs ACL 2026
Towards Robust Human–AI Decision-Making via Learning-to-Defer AAAI 2026
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026
DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics AAAI 2026
UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation EMNLP 2025
FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs EMNLP 2025
Can VLMs Recall Factual Associations From Visual References? EMNLP 2025
Rejection via Learning Density Ratios NIPS 2024
Selective “Selective Prediction”: Reducing Unnecessary Abstention in Vision-Language Reasoning ACL 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR 2024
Selective Generation for Controllable Language Models NIPS 2024
The Craft of Selective Prediction: Towards Reliable Case Outcome Classification - An Empirical Study on European Court of Human Rights Cases EMNLP 2024
Selectively Answering Visual Questions ACL 2024
Uncertainty-Aware Mean Opinion Score Prediction INTERSPEECH 2024
Selective Nonparametric Regression via Testing ACML 2023
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023
Improving Zero-Shot Generalization and Robustness of Multi-Modal Models CVPR 2023
Improving Selective Visual Question Answering by Learning From Your Peers CVPR 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA ACL 2023
Getting MoRE out of Mixture of Language Model Reasoning Experts EMNLP 2023
Selective-LAMA: Selective Prediction for Confidence-Aware Evaluation of Language Models EACL 2023
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models ACL 2023
On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing ACL 2023
On the Relation between Sensitivity and Accuracy in In-Context Learning EMNLP 2023
Window-Based Distribution Shift Detection for Deep Neural Networks NIPS 2023