AINeutralarXiv – CS AI · 14h ago6/10
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Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method
Researchers introduce ConflictQA, a benchmark revealing that large language models struggle with conflicting information across different knowledge sources (text vs. knowledge graphs) in retrieval-augmented generation systems. The study proposes XoT, an explanation-based framework to improve faithful reasoning when LLMs encounter contradictory evidence.