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0 results for “behavioral change”
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
Forecasting Side Effects of Activation Steering
Researchers propose a method to forecast unintended behavioral side effects of activation steering in language models before deployment, using a cross-effect matrix across 67 behaviors and three open-weight models.
Aug 13, 2026