LATIDIA · Investigación

Más allá de la imitación: un marco y punto de referencia para la revisión por pares asistida por LLM

arXiv: 2610.11087v1Tipo de anuncio: nuevo Resumen: El rápido crecimiento de la publicación científica ha tensado la revisión por pares, particularmente en el aprendizaje automático, lo que plantea preocupaciones sobre la disminución de la calidad de la revisión y el aumento de la revisión

La noticia

arXiv:2610.11087v1 Announce Type: new Abstract: The rapid growth of scientific publishing has strained peer review, particularly in machine learning, raising concerns about declining review quality and increasing reviewer workload. Large language models (LLMs) have been proposed as automated review assistants, yet their evaluation has focused largely on imitating human-written reviews rather than supporting the core functions of peer review. Here, we introduce a verification-centric perspective on LLM-assisted peer review, emphasizing error detection as a critical and resource-intensive task. We present a scalable benchmark that evaluates review systems' ability to identify logical contradictions, constructed through synthetic insertion of errors into conference papers, yielding unambiguous evaluation targets and enabling systematic comparison. We