14 citations · 20 across the 12 of their papers we have counts for
3 papers · 1 filter
SpeedrunBench: Challenging LLM Agents with Video Game Speedrunning
Yoshinari Fujinuma, Keisuke Kamahori, Ryuto Koike +8
Frontier LLM agents have been shown to be capable of solving increasingly complex tasks for which humans have measurable solutions. This begs the pertinent question of whether LLM…
VibeServe: Can AI Agents Build Bespoke LLM Serving Systems?
Keisuke Kamahori, Shihang Li, Simon Peter +1
For years, we have built LLM serving systems like any other critical infrastructure, with a single general-purpose stack hand-tuned over many engineer-years to support every model…
AgentFlux: Decoupled Fine-Tuning & Inference for On-Device Agentic Systems
Rohan Kadekodi, Zhan Jin, Keisuke Kamahori +5
The deployment of Large Language Models (LLMs) as agentic orchestrators has revolutionized task automation, but the need for privacy-preserving, cost-effective solutions demands on…