Feb. 8, 2024, 5:46 a.m. | Xingyu Wu Sheng-hao Wu Jibin Wu Liang Feng Kay Chen Tan

cs.CL updates on arXiv.org arxiv.org

Large Language Models (LLMs) have not only revolutionized natural language processing but also extended their prowess to various domains, marking a significant stride towards artificial general intelligence. The interplay between LLMs and Evolutionary Algorithms (EAs), despite differing in objectives and methodologies, share a common pursuit of applicability in complex problems. Meanwhile, EA can provide an optimization framework for LLM's further enhancement under black-box settings, empowering LLM with flexible global search capacities. On the other hand, the abundant domain knowledge inherent …

algorithms artificial artificial general intelligence computation cs.ai cs.cl cs.ne domains evolutionary algorithms general intelligence language language model language models language processing large language large language model large language models llms natural natural language natural language processing processing roadmap survey

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