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2 results for “systematic review”
Class Imbalance and Batch Effects in LLM-Based Screening for Systematic Reviews
A new arXiv preprint examines how large language models behave in imbalanced binary classification tasks—specifically, screening studies for systematic reviews—and finds that batch processing (vs. individual item processing) induces significant, prevalence-dependent behavioral shifts in model decisions, while prevalence metadata shows no measurable performance benefit.
Aug 18, 2026
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
A new arXiv preprint (2607.09666v1) publishes a comprehensive, taxonomy-driven survey of Graph Neural Network (GNN) applications across the full knowledge graph (KG) technology lifecycle — from construction to reasoning to applications — identifying gaps, strengths, limitations, and future research directions.
Jul 14, 2026