2 papers
cs.SE2026
LLM-Based Repair of C++ Implicit Data Loss Compiler Warnings: An Industrial Case Study
Chansong You, Hyun Deok Choi, Jingun Hong
This paper presents a method to automatically fix implicit data loss warnings in large C++ projects using Large Language Models (LLMs). Our approach uses the Language Server Protoc…
cs.NE2023
Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning
Nicholas Matsumoto, Anil Kumar Saini, Pedro Ribeiro +7
In many evolutionary computation systems, parent selection methods can affect, among other things, convergence to a solution. In this paper, we present a study comparing the role o…