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This paper explores methods for adapting large language models to cultural contexts in political discourse, aiming to improve cross-cultural understanding and reduce bias.
The article outlines a left-wing perspective supporting AI by highlighting its benefits for disability access and chronic illness management, while critiquing the political alignment of anti-AI sentiment.
University of Minnesota Duluth team used DeBERTa-V3-base augmented with synthetic data from Gemini 3 and Claude Sonnet 4.5 to classify political question evasions, achieving 8th place at SemEval-2026 Task 6.