Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning
Researchers have developed a new framework called OG-MAR to improve the cultural alignment of large language models. This approach uses ontology-guided multi-agent reasoning to summarize respondent values from surveys and construct a global cultural ontology. At inference, it instantiates multiple value-persona agents that are synthesized to ensure ontology consistency and demographic proximity, leading to more transparent and culturally aligned outputs. AI
IMPACT This framework could lead to more globally relevant and less biased AI applications by improving cultural alignment.