6 papers
Structure-Aware Decoding Mechanisms for Complex Entity Extraction with Large-Scale Language Models
Zhimin Qiu, Di Wu, Feng Liu +1
This paper proposes a structure-aware decoding method based on large language models to address the difficulty of traditional approaches in maintaining both semantic integrity and…
Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
Yuxiao Wang, Di Wu, Feng Liu +2
This paper proposes a composable fine-tuning method that integrates graph structural priors with modular adapters to address the high computational cost and structural instability…
Graph Neural AI with Temporal Dynamics for Comprehensive Anomaly Detection in Microservices
Qingyuan Zhang, Ning Lyu, Le Liu +3
This study addresses the problem of anomaly detection and root cause tracing in microservice architectures and proposes a unified framework that combines graph neural networks with…
Multi-Objective Adaptive Rate Limiting in Microservices Using Deep Reinforcement Learning
Ning Lyu, Yuxi Wang, Ziyu Cheng +2
As cloud computing and microservice architectures become increasingly prevalent, API rate limiting has emerged as a critical mechanism for ensuring system stability and service qua…
Spatiotemporal Traffic Prediction in Distributed Backend Systems via Graph Neural Networks
Zhimin Qiu, Feng Liu, Yuxiao Wang +3
This paper addresses the problem of traffic prediction in distributed backend systems and proposes a graph neural network based modeling approach to overcome the limitations of tra…
Structural Generalization for Microservice Routing Using Graph Neural Networks
Chenrui Hu, Ziyu Cheng, Di Wu +3
This paper focuses on intelligent routing in microservice systems and proposes an end-to-end optimization framework based on graph neural networks. The goal is to improve routing d…