failure mode

Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models ACL 2026 MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models ICLR 2025 Position: All Current Generative Fidelity and Diversity Metrics are Flawed ICML 2025 Understanding Chain-of-Thought in LLMs through Information Theory ICML 2025 Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models ICML 2024 MD tree: a model-diagnostic tree grown on loss landscape ICML 2024 Parameterized Physics-informed Neural Networks for Parameterized PDEs ICML 2024 PRIME: Prioritizing Interpretability in Failure Mode Extraction ICLR 2024 Adaptive Testing of Computer Vision Models ICCV 2023 Distilling Model Failures as Directions in Latent Space ICLR 2023 ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations ICLR 2023 Combining Diverse Feature Priors ICML 2022 Auditing Robot Learning for Safety and Compliance during Deployment CoRL 2021 Understanding Failures of Deep Networks via Robust Feature Extraction CVPR 2021