most citedDesigning Network Algorithms via Large Language Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.NIShow all

5 papers · 1 filter

cs.NI2025

Congestion Control System Optimization with Large Language Models

Zhiyuan He, Aashish Gottipati, Lili Qiu +2

Congestion control is a fundamental component of Internet infrastructure, and researchers have dedicated considerable effort to developing improved congestion control algorithms. H…

cs.NI2025

NetArena: Dynamic Benchmarks for AI Agents in Network Automation

Yajie Zhou, Jiajun Ruan, Eric S. Wang +4

As AI agents expand into high-stakes domains like network system operations, evaluating their real-world reliability becomes increasingly critical. However, existing benchmarks ris…

cs.NI2025

AquaScope: Reliable Underwater Image Transmission on Mobile Devices

Beitong Tian, Lingzhi Zhao, Bo Chen +5

Underwater communication is essential for both recreational and scientific activities, such as scuba diving. However, existing methods remain highly constrained by environmental ch…

cs.NI2024

Offline Meta-learning for Real-time Bandwidth Estimation

Aashish Gottipati, Sami Khairy, Yasaman Hosseinkashi +4

Real-time video applications require dynamic bitrate adjustments based on network capacity, necessitating accurate bandwidth estimation (BWE). We introduce Ivy, a novel BWE method…

cs.NI2024★ 1 cited

Designing Network Algorithms via Large Language Models

Zhiyuan He, Aashish Gottipati, Lili Qiu +4

We introduce NADA, the first framework to autonomously design network algorithms by leveraging the generative capabilities of large language models (LLMs). Starting with an existin…