Abstract: Evolutionary algorithms face critical design limitations including operator customization depending on expert knowledge and inefficient parameter tuning. To overcome these challenges, this ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October. Lew and his ...

Abstract: Large language models (LLMs), such as GPT-4 have demonstrated their ability to understand natural language and generate complex code snippets. This article introduces a novel LLM ...

Moreover, the performance differences between test groups using various language combinations were found to be insignificant. Conclusions: ChatGPT, as a representative LLM, is a viable tool for ...