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Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …
Software Engineering (SE). Many recent publications have explored LLMs applied to …
When large language models meet personalization: Perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …
intelligence. With the unprecedented scale of training and model parameters, the capability …
Mathematical discoveries from program search with large language models
Large language models (LLMs) have demonstrated tremendous capabilities in solving
complex tasks, from quantitative reasoning to understanding natural language. However …
complex tasks, from quantitative reasoning to understanding natural language. However …
Eureka: Human-level reward design via coding large language models
Large Language Models (LLMs) have excelled as high-level semantic planners for
sequential decision-making tasks. However, harnessing them to learn complex low-level …
sequential decision-making tasks. However, harnessing them to learn complex low-level …
Promptbreeder: Self-referential self-improvement via prompt evolution
Popular prompt strategies like Chain-of-Thought Prompting can dramatically improve the
reasoning abilities of Large Language Models (LLMs) in various domains. However, such …
reasoning abilities of Large Language Models (LLMs) in various domains. However, such …
Evolutionary computation in the era of large language model: Survey and roadmap
Large language models (LLMs) have not only revolutionized natural language processing
but also extended their prowess to various domains, marking a significant stride towards …
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
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 …
However, manual design of heuristics can be often very labour extensive and requires rich …
Language model crossover: Variation through few-shot prompting
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 …
operator similar in spirit to evolutionary crossover. In particular, language models of …
Algorithm evolution using large language model
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 specific optimization problem typically requires a tedious amount of effort from human …
A survey on large language models for software engineering
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …
management of software applications underpinning the digital infrastructure of our modern …