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This paper develops an LLM pipeline for automating systematic literature reviews in disease spread modeling, comparing the performance of GPT-4.1 and GPT-5.0 against human-conducted reviews.
This systematic literature review examines safety alignment of large language models in low-resource languages, identifying a persistent multilingual safety gap and suggesting future directions such as culturally grounded benchmarks and participatory data collection.
A systematic literature review of 212 studies investigates how Physics-Informed Machine Learning (PIML) is applied in Prognostics and Health Management (PHM), introducing a four-class classification scheme and finding that PIML consistently improves predictive performance over conventional baselines, though the literature is skewed toward batteries and bearings and lacks strong evidence for claims regarding generalization and interpretability.