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confidence calibration

173 papers

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Co-occurring keywords

large language model (12755) uncertainty quantification (1365) uncertainty estimation (639) out-of-distribution detection (611) confidence estimation (162) neural network (6616) model calibration (225) question answering (2904) expected calibration error (44) calibration error (58)

Papers

Towards Uncertainty-Aware Language Agent ACL 2024
Reconfidencing LLMs from the Grouping Loss Perspective EMNLP 2024
Mirror-Consistency: Harnessing Inconsistency in Majority Voting EMNLP 2024
Calibrating Long-form Generations From Large Language Models EMNLP 2024
Confidence Calibration of Classifiers with Many Classes NIPS 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NIPS 2024
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NIPS 2024
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models ACL 2024
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? EACL 2024
Test-Time Linear Out-of-Distribution Detection CVPR 2024
Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024
RCL: Reliable Continual Learning for Unified Failure Detection CVPR 2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models NIPS 2024
Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance AAAI 2024
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks AAAI 2024
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation AAAI 2024
Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024
Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification ACL 2024
Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ACL 2024
Frustratingly Easy Test-Time Adaptation of Vision-Language Models NIPS 2024
HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task SEMEVAL 2024