Cultural Alignment in AI refers to the process of adapting large language models to reflect the values, norms, and communicative conventions of specific cultural contexts, rather than defaulting to dominant cultural assumptions encoded during pretraining. It addresses cross-cultural interference, where applying one culture’s norms degrades performance on another, and task specificity, ensuring cultural adaptations are relevant to downstream use cases. Research approaches include modular adapter systems, culture-aware data synthesis, and task-aware fine-tuning pipelines.
NEC Laboratories America heads to ACL 2026 in San Diego, California, July 2–7, to present accepted papers spanning knowledge updating and memory control in large language models, task-aware cultural alignment, uncertainty-aware reasoning, and adaptive chain-of-thought optimization, representing some of the most active frontiers in NLP and AI research today.