Syn-Diag: An LLM-based Synergistic Framework for Generalizable Few-shot Fault Diagnosis on the Edge
Fuente:
arXiv
Saved in:
| Main Authors: | Jia, Zijun, Liang, Shuang, Yu, Jinsong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring LLM-based Frameworks for Fault Diagnosis
by: Lee, Xian Yeow, et al.
Published: (2025)
by: Lee, Xian Yeow, et al.
Published: (2025)
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)
DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents
by: Hong, Sirui, et al.
Published: (2026)
by: Hong, Sirui, et al.
Published: (2026)
Few-shot LLM Synthetic Data with Distribution Matching
by: Ren, Jiyuan, et al.
Published: (2025)
by: Ren, Jiyuan, et al.
Published: (2025)
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis
by: Wang, Ming, et al.
Published: (2025)
by: Wang, Ming, et al.
Published: (2025)
TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learning
by: Qu, Xingwei, et al.
Published: (2024)
by: Qu, Xingwei, et al.
Published: (2024)
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models
by: Liu, Shuo, et al.
Published: (2024)
by: Liu, Shuo, et al.
Published: (2024)
Does Few-shot Learning Suffer from Backdoor Attacks?
by: Liu, Xinwei, et al.
Published: (2023)
by: Liu, Xinwei, et al.
Published: (2023)
Dynamic User-controllable Privacy-preserving Few-shot Sensing Framework
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)
DiagGPT: An LLM-based and Multi-agent Dialogue System with Automatic Topic Management for Flexible Task-Oriented Dialogue
by: Cao, Lang
Published: (2023)
by: Cao, Lang
Published: (2023)
A State-Transition Framework for Efficient LLM Reasoning
by: Zhang, Liang, et al.
Published: (2026)
by: Zhang, Liang, et al.
Published: (2026)
Domain Adaptation-based Edge Computing for Cross-Conditions Fault Diagnosis
by: Wang, Yanzhi, et al.
Published: (2024)
by: Wang, Yanzhi, et al.
Published: (2024)
Calibrated Prediction Set in Fault Detection with Risk Guarantees via Significance Tests
by: Mei, Mingchen, et al.
Published: (2025)
by: Mei, Mingchen, et al.
Published: (2025)
S2S-FDD: Bridging Industrial Time Series and Natural Language for Explainable Zero-shot Fault Diagnosis
by: Li, Baoxue, et al.
Published: (2026)
by: Li, Baoxue, et al.
Published: (2026)
Syn-STARTS: Synthesized START Triage Scenario Generation Framework for Scalable LLM Evaluation
by: Hagiwara, Chiharu, et al.
Published: (2025)
by: Hagiwara, Chiharu, et al.
Published: (2025)
PropLLM: Propagation-Aware Scene Reconstruction for Network Fault Diagnosis
by: Wu, Zongzong, et al.
Published: (2026)
by: Wu, Zongzong, et al.
Published: (2026)
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)
Training-free LLM Verification via Recycling Few-shot Examples
by: Lee, Dongseok, et al.
Published: (2025)
by: Lee, Dongseok, et al.
Published: (2025)
EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning
by: Du, He, et al.
Published: (2025)
by: Du, He, et al.
Published: (2025)
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)
Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes
by: Kobalczyk, Katarzyna, et al.
Published: (2024)
by: Kobalczyk, Katarzyna, et al.
Published: (2024)
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems
by: He, Kaibo, et al.
Published: (2024)
by: He, Kaibo, et al.
Published: (2024)
$\texttt{SynC}$: Synergistic Boosting of Structure and Representation for Deep Graph Clustering
by: Ding, Shifei, et al.
Published: (2024)
by: Ding, Shifei, et al.
Published: (2024)
Explainable Few-shot Knowledge Tracing
by: Li, Haoxuan, et al.
Published: (2024)
by: Li, Haoxuan, et al.
Published: (2024)
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry
by: Gan, Mengjie, et al.
Published: (2024)
by: Gan, Mengjie, et al.
Published: (2024)
ICPL: Few-shot In-context Preference Learning via LLMs
by: Yu, Chao, et al.
Published: (2024)
by: Yu, Chao, et al.
Published: (2024)
First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI
by: Banerjee, Sourav, et al.
Published: (2024)
by: Banerjee, Sourav, et al.
Published: (2024)
TALEC: Teach Your LLM to Evaluate in Specific Domain with In-house Criteria by Criteria Division and Zero-shot Plus Few-shot
by: Zhang, Kaiqi, et al.
Published: (2024)
by: Zhang, Kaiqi, et al.
Published: (2024)
RadDiagSeg-M: A Vision Language Model for Joint Diagnosis and Multi-Target Segmentation in Radiology
by: Li, Chengrun, et al.
Published: (2025)
by: Li, Chengrun, et al.
Published: (2025)
VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework
by: Yao, Zhi, et al.
Published: (2024)
by: Yao, Zhi, et al.
Published: (2024)
Global-focal Adaptation with Information Separation for Noise-robust Transfer Fault Diagnosis
by: Ren, Junyu, et al.
Published: (2025)
by: Ren, Junyu, et al.
Published: (2025)
FaultDiffusion: Few-Shot Fault Time Series Generation with Diffusion Model
by: Xu, Yi, et al.
Published: (2025)
by: Xu, Yi, et al.
Published: (2025)
SynHAT: A Two-stage Coarse-to-Fine Diffusion Framework for Synthesizing Human Activity Traces
by: Xu, Rongchao, et al.
Published: (2026)
by: Xu, Rongchao, et al.
Published: (2026)
Knowledge-Decoupled Synergetic Learning: An MLLM based Collaborative Approach to Few-shot Multimodal Dialogue Intention Recognition
by: Chen, Bin, et al.
Published: (2025)
by: Chen, Bin, et al.
Published: (2025)
Synthetic Forgetting without Access: A Few-shot Zero-glance Framework for Machine Unlearning
by: Song, Qipeng, et al.
Published: (2025)
by: Song, Qipeng, et al.
Published: (2025)
Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval
by: Min, Zijun, et al.
Published: (2024)
by: Min, Zijun, 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)
BalanceRAG: Joint Risk Calibration for Cascaded Retrieval-Augmented Generation
by: Jia, Zijun, et al.
Published: (2026)
by: Jia, Zijun, et al.
Published: (2026)
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
by: Xu, Qi, et al.
Published: (2025)
by: Xu, Qi, et al.
Published: (2025)
Small Object Few-shot Segmentation for Vision-based Industrial Inspection
by: Zhang, Zilong, et al.
Published: (2024)
by: Zhang, Zilong, et al.
Published: (2024)
Similar Items
-
Exploring LLM-based Frameworks for Fault Diagnosis
by: Lee, Xian Yeow, et al.
Published: (2025) -
Few-shot Class-incremental Fault Diagnosis by Preserving Class-Agnostic Knowledge with Dual-Granularity Representations
by: Yang, Zhendong, et al.
Published: (2025) -
DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents
by: Hong, Sirui, et al.
Published: (2026) -
Few-shot LLM Synthetic Data with Distribution Matching
by: Ren, Jiyuan, et al.
Published: (2025) -
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis
by: Wang, Ming, et al.
Published: (2025)