{"ID":2853422,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.16502","arxiv_id":"2510.16502","title":"On the Use of Large Language Models for Qualitative Synthesis","abstract":"Large language models (LLMs) show promise for supporting systematic reviews (SR), even complex tasks such as qualitative synthesis (QS). However, applying them to a stage that is unevenly reported and variably conducted carries important risks: misuse can amplify existing weaknesses and erode confidence in the SR findings. To examine the challenges of using LLMs for QS, we conducted a collaborative autoethnography involving two trials. We evaluated each trial for methodological rigor and practical usefulness, and interpreted the results through a technical lens informed by how LLMs are built and their current limitations.","short_abstract":"Large language models (LLMs) show promise for supporting systematic reviews (SR), even complex tasks such as qualitative synthesis (QS). However, applying them to a stage that is unevenly reported and variably conducted carries important risks: misuse can amplify existing weaknesses and erode confidence in the SR findi...","url_abs":"https://arxiv.org/abs/2510.16502","url_pdf":"https://arxiv.org/pdf/2510.16502v1","authors":"[\"Sebastián Pizard\",\"Ramiro Moreira\",\"Federico Galiano\",\"Ignacio Sastre\",\"Lorena Etcheverry\"]","published":"2025-10-18T13:42:26Z","proceeding":"cs.SE","tasks":"[\"cs.SE\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false}