failure detection

Adaptive Confidence Regularization for Multimodal Failure Detection CVPR 2026 Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance CVPR 2026 Harp: Improving VPC Network Availability via Efficient Failure Detection and Rerouting in Tencent Cloud NSDI 2026 NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons ACL 2026 RASC: Enhancing Observability & Programmability in Smart Spaces NSDI 2026 RoboFailRing: Retrieval-Augmented and Language Grounding Failure Detection for VLM-enabled Robotic Manipulation ACL 2026 Adaptively profiling models with task elicitation EMNLP 2025 AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation ICLR 2025 A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025 Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification EMNLP 2025 Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies RSS 2025 Code-as-Monitor: Constraint-aware Visual Programming for Reactive and Proactive Robotic Failure Detection CVPR 2025 Evaluating Compound AI Systems through Behaviors, Not Benchmarks EMNLP 2025 Interpretable Failure Detection with Human-Level Concepts AAAI 2025 Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight AAAI 2025 DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation ECCV 2024 ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms ICLR 2024 RCL: Reliable Continual Learning for Unified Failure Detection CVPR 2024 SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists EMNLP 2024 Typicalness-Aware Learning for Failure Detection NeurIPS 2024 Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress CoRL 2024 ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation ICLR 2024 A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification ICLR 2023 Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement ICML 2023 Mass-Producing Failures of Multimodal Systems with Language Models NeurIPS 2023