3 papers
cs.SE2026
PACE: Primitive-Aware Code Evolution for Automated Algorithm Design
Zhuoliang Xie, Ruihao Zheng, Xiang Xu +2
Large Language Model (LLM)-based automated algorithm design typically evolves algorithms as complete, indivisible programs. While this whole-program perspective simplifies the sear…
cs.NE2025
Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
Lindong Xie, Genghui Li, Zhenkun Wang +2
Surrogate-assisted evolutionary algorithms (SAEAs) are a key tool for addressing costly optimization tasks, with their efficiency being heavily dependent on the selection of surrog…
cs.CL2022
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
Zhongju Yuan, Zhenkun Wang, Genghui Li
Few-shot relation extraction aims to recognize novel relations with few labeled sentences in each relation. Previous metric-based few-shot relation extraction algorithms identify r…