AI RESEARCH
Whose Facts Win? LLM Source Preferences under Knowledge Conflicts
arXiv CS.CL
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ArXi:2601.03746v3 Announce Type: replace As large language models (LLMs) are frequently used in retrieval-augmented generation pipelines, it is increasingly relevant to study their behavior under knowledge conflicts. Thus far, the role of the source of the retrieved information has gone unexamined. We address this gap with a novel framework to investigate how source preferences affect LLM resolution of inter-context knowledge conflicts in English, motivated by interdisciplinary research on credibility.