model reliability

BERT-IRT: Accelerating Item Piloting with BERT Embeddings and Explainable IRT Models NAACL 2024 On the Reliability of Psychological Scales on Large Language Models EMNLP 2024 On the Worst Prompt Performance of Large Language Models NeurIPS 2024 Please note that I’m just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification EMNLP 2024 To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability COLING 2024 Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024 You don’t need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments NAACL 2024 GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection NeurIPS 2023 Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement ICML 2023 On the Calibration of Large Language Models and Alignment EMNLP 2023 Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA ACL 2023 RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data EMNLP 2023 Reliability Check: An Analysis of GPT-3’s Response to Sensitive Topics and Prompt Wording ACL 2023 Reliability in Semantic Segmentation: Are We on the Right Track? CVPR 2023 Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023 Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration UAI 2023 Mitigating Bias in Calibration Error Estimation AISTATS 2022 MLDemon:Deployment Monitoring for Machine Learning Systems AISTATS 2022 Evaluating the Robustness of Neural Language Models to Input Perturbations EMNLP 2021 Safety Analysis of Deep Neural Networks IJCAI 2021 JCT at SemEval-2020 Task 1: Combined Semantic Vector Spaces Models for Unsupervised Lexical Semantic Change Detection SemEval 2020 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent CVPR 2016