:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Zongzong, Zhao, Ming, Tang, Fengxiao, Kato, Nei
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2606.00582
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Chain or tree? Re-evaluating complex reasoning from the perspective of a matrix of thought
by: Tang, Fengxiao, et al.
Published: (2025)

Toward Realistic Wi-Fi Fault Diagnosis: A Multi-Modal Benchmark
by: Zhang, Junjian, et al.
Published: (2026)

KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment
by: Wu, Zongzong, et al.
Published: (2024)

FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
by: Xu, Yi, et al.
Published: (2025)

PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation
by: Yan, Bingyu, et al.
Published: (2026)

Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
by: Qin, Yeguang, et al.
Published: (2022)

MSADM: Large Language Model (LLM) Assisted End-to-End Network Health Management Based on Multi-Scale Semanticization
by: Tang, Fengxiao, et al.
Published: (2024)

PropMEND: Hypernetworks for Knowledge Propagation in LLMs
by: Liu, Zeyu Leo, et al.
Published: (2025)

LRCTI: A Large Language Model-Based Framework for Multi-Step Evidence Retrieval and Reasoning in Cyber Threat Intelligence Credibility Verification
by: Tang, Fengxiao, et al.
Published: (2025)

ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation
by: Zhong, Lujia, et al.
Published: (2024)

EditPropBench: Measuring Factual Edit Propagation in Scientific Manuscripts
by: Kruthof, Garvin
Published: (2026)

EntProp: High Entropy Propagation for Improving Accuracy and Robustness
by: Enomoto, Shohei
Published: (2024)

Exploring LLM-based Frameworks for Fault Diagnosis
by: Lee, Xian Yeow, et al.
Published: (2025)

6G comprehensive intelligence: network operations and optimization based on Large Language Models
by: Long, Sifan, et al.
Published: (2024)

FD-LLM: Large Language Model for Fault Diagnosis of Machines
by: Qaid, Hamzah A. A. M., et al.
Published: (2024)

Uncertainty-Aware Artificial Intelligence for Gear Fault Diagnosis in Motor Drives
by: Sahoo, Subham, et al.
Published: (2024)

Domain-Aware Hierarchical Contrastive Learning for Semi-Supervised Generalization Fault Diagnosis
by: Ren, Junyu, et al.
Published: (2026)

Props for Machine-Learning Security
by: Juels, Ari, 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)

FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning
by: Shen, Jie, et al.
Published: (2023)

MeshMimic: Geometry-Aware Humanoid Motion Learning through 3D Scene Reconstruction
by: Zhang, Qiang, et al.
Published: (2026)

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2022)

Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
by: Chen, Jiaying, et al.
Published: (2024)

PropVG: End-to-End Proposal-Driven Visual Grounding with Multi-Granularity Discrimination
by: Dai, Ming, et al.
Published: (2025)

RAFFLES: Reasoning-based Attribution of Faults for LLM Systems
by: Zhu, Chenyang, et al.
Published: (2025)

Robust Unsupervised Fault Diagnosis For High-Dimensional Nonlinear Noisy Data
by: Zhao, Dandan, et al.
Published: (2025)

PropNet: a White-Box and Human-Like Network for Sentence Representation
by: Yang, Fei
Published: (2025)

Early Diagnosis of Wasted Computation in Multi-Agent LLM Systems via Failure-Aware Observability
by: Li, Xianyou, et al.
Published: (2026)

S2S-FDD: Bridging Industrial Time Series and Natural Language for Explainable Zero-shot Fault Diagnosis
by: Li, Baoxue, et al.
Published: (2026)

An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025)

BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosis
by: Zhou, Songqi, et al.
Published: (2025)

Vision-Based Early Fault Diagnosis and Self-Recovery for Strawberry Harvesting Robots
by: Sun, Meili, et al.
Published: (2026)

Graph Neural Network-Based Semi-Supervised Open-Set Fault Diagnosis for Marine Machinery Systems
by: Lou, Chuyue, et al.
Published: (2025)

Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
by: Aryal, Bibek, et al.
Published: (2026)

SceneAware: Scene-Constrained Pedestrian Trajectory Prediction with LLM-Guided Walkability
by: Bai, Juho, et al.
Published: (2025)

SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning
by: Zhao, Dandan, et al.
Published: (2024)

LSR-Net: A Lightweight and Strong Robustness Network for Bearing Fault Diagnosis in Noise Environment
by: Lee, Junseok, et al.
Published: (2026)

Fault Diagnosis in Power Grids with Large Language Model
by: Jing, Liu, et al.
Published: (2024)

Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes
by: Li, Guangqiang, et al.
Published: (2025)

FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis
by: Khan, Abdullah, et al.
Published: (2024)