dogear

enter for all results · esc to close

Large Language Models for Software Engineering: A Systematic Literature Review

arxiv.orgsite

2023. [All Versions]. A systematic literature review on LLM4SE, with a particular focus on understanding how LLMs can be exploited to optimize processes and outcomes.

from
AGI & CoCoSci
added
2026-10-10
likes
0

similar

  1. Assessing the research landscape and clinical utility of large language models: a scoping review doi.org

    a high-level review of LLM applications in medicine as of March 2024.

  2. From intention to implementation: automating biomedical research via LLMs link.springer.com

    Science China Information Sciences, 2025. [All Versions]. Conventional biomedical research is increasingly labor-intensive due to the exponential growth of scientific literature and datasets. Artificial intelligence (AI), particularly large language models (LLMs), has the…

  3. Large language models for scientific discovery in molecular property prediction nature.com

    Nature Machine Intelligence, 2025. [All Versions]. Large language models (LLMs) are a form of artificial intelligence system encapsulating vast knowledge in the form of natural language. These systems are adept at numerous complex tasks including creative writing, storytelling…

  4. Large language models in healthcare: A comprehensive benchmark dx.doi.org

    a statistical and human evaluation of sixteen different LLMs applied to medical language tasks.

  5. Preliminary Systematic Literature Review of Machine Learning System Development Process arxiv.org

    🎓

  6. Mathematical discoveries from program search with large language models nature.com

    Nature, 2024. [All Versions]. Large language models (LLMs) have demonstrated tremendous capabilities in solving complex tasks, from quantitative reasoning to understanding natural language. However, LLMs sometimes suffer from confabulations (or hallucinations), which can result…

AGI & CoCoSci › Papers > Inductive Logic & Program Synthesis: “2023. [All Versions]. A systematic literature review on LLM4SE, with a particular focus on understanding how LLMs can be exploited to optimize processes and outcomes.”