MAPLE: Metadata Conditioned LLM Pretraining for Locale-Aware Question Answering
LocalNewsQA is introduced, an 18,700-item English-news benchmark that pairs the same question across two locales and scores whether a model actually switches its answer when the locale changes, and pretraining with metadata in MAPLE produces measurable switching and improves accuracy on questions whose correct answer depends on locale.