2 citations · 3 across the 8 of their papers we have counts for
6 papers · 1 filter
NetRL: Powering Network Decisions via NetGRPO-Driven Reinforcement Learning
Lingfeng Peng, Xiaohui Xie, Yang Bao +1
Network decision-making tasks, including adaptive bitrate streaming, load balancing, and congestion control, require policies to process heterogeneous states and actions while bala…
NetConfArena: An Executable Benchmark for LLM Agents in Closed-Loop Network Configuration
Chang Liu, Xiaohui Xie, Xinyi Chen +1
Large language model (LLM) agents are increasingly attractive for automating network configuration, yet their reliability and failure patterns are poorly understood. An essential p…
Automated Network Protocol Testing with LLM Agents
Yunze Wei, Kaiwen Wei, Shibo Du +7
Network protocol testing is fundamental for modern network infrastructure. However, traditional network protocol testing methods are labor-intensive and error-prone, requiring manu…
AI Agent Communication from Internet Architecture Perspective: Challenges and Opportunities
Chenguang Du, Chuyi Wang, Yihan Chao +2
The rapid development of AI agents leads to a surge in communication demands. Alongside this rise, a variety of frameworks and protocols emerge. While these efforts demonstrate the…
INTA: Intent-Based Translation for Network Configuration with LLM Agents
Yunze Wei, Xiaohui Xie, Tianshuo Hu +4
Translating configurations between different network devices is a common yet challenging task in modern network operations. This challenge arises in typical scenarios such as repla…
Large Language Models for Networking: Workflow, Advances and Challenges
Chang Liu, Xiaohui Xie, Xinggong Zhang +1
The networking field is characterized by its high complexity and rapid iteration, requiring extensive expertise to accomplish network tasks, ranging from network design, configurat…