2 citations · 3 across the 4 of their papers we have counts for
5 papers
LESS: Lightweight Evolutionary Supernet Search in Minutes
Aviral Gandhi, Jinglue Xu, Jialong Li +1
Low-cost NAS must both explore high-performing architectures and identify them reliably, yet reducing evaluation cost often weakens the fidelity of candidate comparisons. Training-…
Large Language Models as Particle Swarm Optimizers
Yamato Shinohara, Jinglue Xu, Tianshui Li +1
Optimization problems often require domain-specific expertise to design problem-dependent methodologies. Recently, several approaches have gained attention by integrating large lan…
Automatic Adaptation Rule Optimization via Large Language Models
Yusei Ishimizu, Jialong Li, Jinglue Xu +3
Rule-based adaptation is a foundational approach to self-adaptation, characterized by its human readability and rapid response. However, building high-performance and robust adapta…
Exploring the Improvement of Evolutionary Computation via Large Language Models
Jinyu Cai, Jinglue Xu, Jialong Li +3
Evolutionary computation (EC), as a powerful optimization algorithm, has been applied across various domains. However, as the complexity of problems increases, the limitations of E…
Large Language Models Synergize with Automated Machine Learning
Jinglue Xu, Jialong Li, Zhen Liu +5
Recently, program synthesis driven by large language models (LLMs) has become increasingly popular. However, program synthesis for machine learning (ML) tasks still poses significa…