automated algorithm design 1evolutionary optimization 1graph retrieval 1knowledge graphs 1large language models 1
From the 1 of 3 linked papers with an AI index.
3 papers
math.OC2026
OptGraph: Large Language Models Enhanced Evolutionary Optimization Via Graph Retrieval-Augmented Generation
Xianchao Xiu, Jianhao Li, Huangyue Chen +1
The paper introduces OptGraph, a system that enhances automated evolutionary optimization by using large language models together with a graph‑based retrieval‑augmented generation…
cs.CL2026
Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems
Yuhan Cao, Zian Chen, Kun Quan +17
Large Language Models (LLMs) have demonstrated remarkable capabilities in code generation, capable of tackling complex tasks during inference. However, the extent to which LLMs can…
cs.LG2025
LLM4FS: Leveraging Large Language Models for Feature Selection
Jianhao Li, Xianchao Xiu
Recent advances in large language models (LLMs) have provided new opportunities for decision-making, particularly in the task of automated feature selection. In this paper, we firs…