Large language models for software engineering: A systematic literature review

X Hou, Y Zhao, Y Liu, Z Yang, K Wang, L Li… - ACM Transactions on …, 2024 - dl.acm.org
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

When large language models meet personalization: Perspectives of challenges and opportunities

J Chen, Z Liu, X Huang, C Wu, Q Liu, G Jiang, Y Pu… - World Wide Web, 2024 - Springer
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …

Mathematical discoveries from program search with large language models

B Romera-Paredes, M Barekatain, A Novikov, M Balog… - Nature, 2024 - nature.com
Large language models (LLMs) have demonstrated tremendous capabilities in solving
complex tasks, from quantitative reasoning to understanding natural language. However …

Eureka: Human-level reward design via coding large language models

YJ Ma, W Liang, G Wang, DA Huang, O Bastani… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) have excelled as high-level semantic planners for
sequential decision-making tasks. However, harnessing them to learn complex low-level …

Promptbreeder: Self-referential self-improvement via prompt evolution

C Fernando, D Banarse, H Michalewski… - arxiv preprint arxiv …, 2023 - arxiv.org
Popular prompt strategies like Chain-of-Thought Prompting can dramatically improve the
reasoning abilities of Large Language Models (LLMs) in various domains. However, such …

Evolutionary computation in the era of large language model: Survey and roadmap

X Wu, S Wu, J Wu, L Feng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.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 …

Evolution of heuristics: Towards efficient automatic algorithm design using large language model

F Liu, X Tong, M Yuan, X Lin, F Luo, Z Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Heuristics are widely used for dealing with complex search and optimization problems.
However, manual design of heuristics can be often very labour extensive and requires rich …

Language model crossover: Variation through few-shot prompting

E Meyerson, MJ Nelson, H Bradley, A Gaier… - ACM Transactions on …, 2024 - dl.acm.org
This article pursues the insight that language models naturally enable an intelligent variation
operator similar in spirit to evolutionary crossover. In particular, language models of …

Algorithm evolution using large language model

F Liu, X Tong, M Yuan, Q Zhang - arxiv preprint arxiv:2311.15249, 2023 - arxiv.org
Optimization can be found in many real-life applications. Designing an effective algorithm for
a specific optimization problem typically requires a tedious amount of effort from human …

A survey on large language models for software engineering

Q Zhang, C Fang, Y **e, Y Zhang, Y Yang… - arxiv preprint arxiv …, 2023 - arxiv.org
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …