Saved in:
| Main Authors: | Li, Baoxue, Zhao, Chunhui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.08048 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis
by: Zhao, Jiancheng, et al.
Published: (2024)
by: Zhao, Jiancheng, et al.
Published: (2024)
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
by: Fu, Xinghong, et al.
Published: (2026)
by: Fu, Xinghong, et al.
Published: (2026)
TSViT: A Time Series Vision Transformer for Fault Diagnosis
by: Zhang, Shouhua, et al.
Published: (2023)
by: Zhang, Shouhua, et al.
Published: (2023)
TimeSeries2Report prompting enables adaptive large language model management of lithium-ion batteries
by: Yang, Jiayang, et al.
Published: (2025)
by: Yang, Jiayang, et al.
Published: (2025)
Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
by: Dave, Akshay J., et al.
Published: (2024)
by: Dave, Akshay J., et al.
Published: (2024)
FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
Explainable Artificial Intelligence based Soft Evaluation Indicator for Arc Fault Diagnosis
by: Wang, Qianchao, et al.
Published: (2025)
by: Wang, Qianchao, et al.
Published: (2025)
Large Language Models are Few-shot Multivariate Time Series Classifiers
by: Chen, Yakun, et al.
Published: (2025)
by: Chen, Yakun, et al.
Published: (2025)
Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks
by: Jayawardhana, Mayuka, et al.
Published: (2026)
by: Jayawardhana, Mayuka, et al.
Published: (2026)
Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales
by: Li, Wenyu, et al.
Published: (2024)
by: Li, Wenyu, et al.
Published: (2024)
Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
by: Jia, Zijun, et al.
Published: (2025)
by: Jia, Zijun, et al.
Published: (2025)
Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review
by: Maged, Ahmed, et al.
Published: (2024)
by: Maged, Ahmed, et al.
Published: (2024)
TempoPFN: Synthetic Pre-training of Linear RNNs for Zero-shot Time Series Forecasting
by: Moroshan, Vladyslav, et al.
Published: (2025)
by: Moroshan, Vladyslav, et al.
Published: (2025)
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
by: Aryal, Bibek, et al.
Published: (2026)
by: Aryal, Bibek, et al.
Published: (2026)
FD-LLM: Large Language Model for Fault Diagnosis of Machines
by: Qaid, Hamzah A. A. M., et al.
Published: (2024)
by: Qaid, Hamzah A. A. M., et al.
Published: (2024)
FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
by: Khan, Abdullah, et al.
Published: (2024)
by: Khan, Abdullah, et al.
Published: (2024)
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning
by: Zhao, Dandan, et al.
Published: (2024)
by: Zhao, Dandan, et al.
Published: (2024)
Few-shot Class-incremental Fault Diagnosis by Preserving Class-Agnostic Knowledge with Dual-Granularity Representations
by: Yang, Zhendong, et al.
Published: (2025)
by: Yang, Zhendong, et al.
Published: (2025)
Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities
by: Wang, Huan, et al.
Published: (2023)
by: Wang, Huan, et al.
Published: (2023)
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
by: Tang, Xiangru, et al.
Published: (2023)
by: Tang, Xiangru, et al.
Published: (2023)
Fault Diagnosis in Power Grids with Large Language Model
by: Jing, Liu, et al.
Published: (2024)
by: Jing, Liu, et al.
Published: (2024)
Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
by: Tan, Zhao, et al.
Published: (2026)
by: Tan, Zhao, et al.
Published: (2026)
Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings
by: Ravindra, Neal G., et al.
Published: (2025)
by: Ravindra, Neal G., et al.
Published: (2025)
Uncertainty Reasoning with Large Language Models for Explainable Disease Diagnosis
by: Fan, Xiaoyang, et al.
Published: (2026)
by: Fan, Xiaoyang, et al.
Published: (2026)
Explainable Few-shot Knowledge Tracing
by: Li, Haoxuan, et al.
Published: (2024)
by: Li, Haoxuan, et al.
Published: (2024)
Benchmarking Large Language Models for Zero-shot and Few-shot Phishing URL Detection
by: Hasan, Najmul, et al.
Published: (2026)
by: Hasan, Najmul, et al.
Published: (2026)
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks
by: Zuo, Lin, et al.
Published: (2024)
by: Zuo, Lin, et al.
Published: (2024)
Zero-shot Object Navigation with Vision-Language Models Reasoning
by: Wen, Congcong, et al.
Published: (2024)
by: Wen, Congcong, et al.
Published: (2024)
PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis
by: Wu, Zongzong, et al.
Published: (2026)
by: Wu, Zongzong, et al.
Published: (2026)
Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning
by: Byun, Ji Young, et al.
Published: (2025)
by: Byun, Ji Young, et al.
Published: (2025)
Zero-shot Interactive Perception
by: Sripada, Venkatesh, et al.
Published: (2026)
by: Sripada, Venkatesh, et al.
Published: (2026)
REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis
by: Can, Duy-Cat, et al.
Published: (2025)
by: Can, Duy-Cat, et al.
Published: (2025)
Towards Explainable Conversational AI for Early Diagnosis with Large Language Models
by: Tabassum, Maliha, et al.
Published: (2025)
by: Tabassum, Maliha, et al.
Published: (2025)
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting
by: Liu, Haoxin, et al.
Published: (2024)
by: Liu, Haoxin, et al.
Published: (2024)
TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2022)
by: Chen, Qian, et al.
Published: (2022)
Industrial AI Robustness Card for Time Series Models
by: Windmann, Alexander, et al.
Published: (2025)
by: Windmann, Alexander, et al.
Published: (2025)
Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives
by: Gao, Weibo, et al.
Published: (2023)
by: Gao, Weibo, et al.
Published: (2023)
Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts
by: Zhao, Xinyu, et al.
Published: (2026)
by: Zhao, Xinyu, et al.
Published: (2026)
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
by: Cheng, Xiang, et al.
Published: (2025)
by: Cheng, Xiang, et al.
Published: (2025)
Conversational Time Series Foundation Models: Towards Explainable and Effective Forecasting
by: Cao, Defu, et al.
Published: (2025)
by: Cao, Defu, et al.
Published: (2025)
Similar Items
-
Learning to better see the unseen: Broad-Deep Mixed Anti-Forgetting Framework for Incremental Zero-Shot Fault Diagnosis
by: Zhao, Jiancheng, et al.
Published: (2024) -
Reverso: Efficient Time Series Foundation Models for Zero-shot Forecasting
by: Fu, Xinghong, et al.
Published: (2026) -
TSViT: A Time Series Vision Transformer for Fault Diagnosis
by: Zhang, Shouhua, et al.
Published: (2023) -
TimeSeries2Report prompting enables adaptive large language model management of lithium-ion batteries
by: Yang, Jiayang, et al.
Published: (2025) -
Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
by: Dave, Akshay J., et al.
Published: (2024)