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New guidelines for using GenAI in systematic literature reviews

By PulseAugur Editorial · [1 sources] ·

A new paper outlines preliminary guidelines for researchers using generative AI (GenAI) and large language models (LLMs) in systematic literature reviews (SLRs). The guidelines, named GUEST (GenAI Use and Evaluation in SLR Tasks), address the challenges of ensuring rigor, reliability, and transparency when employing these tools. The paper concludes that while GenAI can assist with repetitive tasks and validation, human oversight remains essential for unsupervised systematic studies. AI

IMPACT Provides a framework for researchers to integrate AI tools into systematic literature reviews while maintaining academic rigor.

RANK_REASON The cluster contains a research paper proposing guidelines for using AI in academic tasks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New guidelines for using GenAI in systematic literature reviews

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The cluster contains a research paper proposing guidelines for using AI in academic tasks. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews

    Context: Generative AI (GenAI) and Large Language Models (LLMs) are increasingly used for academic tasks in software engineering and beyond, including systematic literature reviews (SLRs). However, while capable of summarizing text, there is no guarantee they can meet the rigour,…

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