Information Discernment in Large Language Models
New research shows LLMs struggle to weigh source credibility, prioritizing popularity over factual accuracy.
LLMs are increasingly used with external knowledge sources like the internet. Do they weigh information appropriately -- updating more for reliable sources (source discernment) and more when claims bring priors closer to the truth (truth discernment)? We formalize this as informa...
ArXiv CS.AI
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This research reveals that even the most advanced LLMs struggle to distinguish between credible sources and mere internet popularity, posing a significant risk to information reliability. By formalizing 'information discernment,' the study highlights a critical alignment gap that must be addressed to ensure AI systems can safely replace traditional search engines.
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