2 citations · 2 across the 4 of their papers we have counts for
4 papers
AIChilles: Automatically Uncovering Hidden Weaknesses in AI-Evolved Systems
Yajie Zhou, Ao Li, Ashwin Silla +2
The computer systems community has recently seen growing interest in AI-driven system evolution, where AI agents iteratively rewrite systems. Frameworks such as AdaEvolve and Engra…
R2CC: Reliable and Resilient Collective Communication for Distributed Learning
Wei Wang, Nengneng Yu, Sixian Xiong +1
Modern ML training and inference now span hundreds to tens of thousands of GPUs, where failures can waste 10-15% of GPU hours due to slow recovery. Common network errors and link f…
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…
Compact Data Structures for Network Telemetry
Shir Landau Feibish, Zaoxing Liu, Jennifer Rexford
Collecting and analyzing of network traffic data (network telemetry) plays a critical role in managing modern networks. Network administrators analyze their traffic to troubleshoot…