From the 1 of 11 linked papers with an AI index.
11 papers
TuxBot: Semantic-Aware Online OS Tuning with Large Language Models
Georgios Liargkovas, Mihir Nitin Joshi, Hubertus Franke +1
TuxBot is a host‑side framework that uses large language models to semantically guide online tuning of Linux kernel and sysctl parameters, improving steady‑state performance of lon…
Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All
Chenxi Huang, Alex Mathai, Feiyang Yu +7
Repairing system crashes discovered by kernel fuzzers like Syzkaller is a critical yet underexplored challenge in software engineering. While recent works have introduced Large Lan…
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…
BranchBench: Aligning Database Branching with Agentic Demands
Elaine Ang, Sam Weldon, In Keun Kim +3
Branchable databases are evolving from developer tools to infrastructure for agentic workloads characterized by speculative mutations and non-linear state exploration. Traditional…
AgentOpt v0.1 Technical Report: Client-Side Optimization for LLM-Based Agent
Wenyue Hua, Sripad Karne, Qian Xie +4
AI agents are increasingly deployed in real-world applications, including systems such as Manus, OpenClaw, and coding agents. Existing research has primarily focused on server-side…
VineLM: Trie-Based Fine-Grained Control for Agentic Workflows
Nikos Pagonas, Matthew Lou, Tianyi Peng +2
Agentic workflows interleave configurable LLM stages with tool stages and often include retries or refinement loops. Existing workflow managers profile full workflow configurations…