7 citations · 7 across the 6 of their papers we have counts for
6 papers
What Else Needs Fixing? Exploring Cost-Effective Test-Time Compute for Revision Propagation in Artifacts Generated Through Conversation
Daisuke Kikuta
Large Language Models (LLMs) often help users generate artifacts through iterative cycles of generation and revision in conversation. A challenge here is that, when users specify o…
AI Tour Meeting: Group Travel Planning by LLM Agents
Daisuke Kikuta
This paper proposes AI Tour Meeting, a group travel planning framework powered by multiple Large Language Model (LLM)-based agents. The agents are instantiated with distinct person…
LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri
Chaos Engineering (CE) is an engineering technique aimed at improving the resilience of distributed systems. It involves intentionally injecting faults into a system to test its re…
ChaosEater: Fully Automating Chaos Engineering with Large Language Models
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri
Chaos Engineering (CE) is an engineering technique aimed at improving the resiliency of distributed systems. It involves artificially injecting specific failures into a distributed…
Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri +3
As a telecom provider, our company has a critical mission to maintain telecom services even during power outages. To accomplish the mission, it is essential to maintain the power o…
RouteExplainer: An Explanation Framework for Vehicle Routing Problem
Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri +1
The Vehicle Routing Problem (VRP) is a widely studied combinatorial optimization problem and has been applied to various practical problems. While the explainability for VRP is sig…