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Relevance Supervision Can Teach Neural Retrievers to Prefer LLM-Generated Text
Recent studies show that neural retrievers often exhibit source bias, ranking LLM-generated passages above semantically similar human-written ones, which threatens the reliability of modern information access systems. While this bias is often viewed as a model-level property, we show that relevance
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