8 citations · 9 across the 5 of their papers we have counts for
6 papers
StateFork: Branchable Infrastructure for Agent Exploration
Jiakai Xu, Tianle Zhou, Georgios Liargkovas +5
AI agents improve task success by exploring multiple trajectories, but for computer-use agents each trajectory modifies external environment state. Branching from an intermediate p…
Agentic Data Environments
Elaine Ang, Chenxi Huang, Georgios Liargkovas +13
Autonomous agents promise substantial gains in speed, scale, and labor efficiency, but their failures can impose abrupt and often irreversible costs. The central challenge for agen…
TuxBot: Semantic-Aware Online OS Tuning with Large Language Models
Georgios Liargkovas, Mihir Nitin Joshi, Hubertus Franke +1
Online OS tuning can improve long-running services, but existing controllers are poorly matched to live hosts. They treat scheduler, power, memory, and I/O controls as black-box va…
Speculative Actions: A Lossless Framework for Faster Agentic Systems
Naimeng Ye, Arnav Ahuja, Georgios Liargkovas +3
AI agents are increasingly deployed in complex, interactive environments, yet their runtime remains a major bottleneck for training, evaluation, and real-world use. Typical agent b…
Quieting the Static: A Study of Static Analysis Alert Suppressions
Georgios Liargkovas, Evangelia Panourgia, Diomidis Spinellis
Static analysis tools are commonly used to detect defects before the code is released. Previous research has focused on their overall effectiveness and their ability to detect defe…
Software Engineering Education Knowledge Versus Industrial Needs
Georgios Liargkovas, Angeliki Papadopoulou, Zoe Kotti +1
Contribution: Determine and analyze the gap between software practitioners' education outlined in the 2014IEEE/ACM Software Engineering Education Knowledge (SEEK) and industrial ne…