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How Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?

paperactiveprovisionalhow-temperature-shapes-ideological-discourse-in-retrieval-augmented-generation--183da0bc·1 events·first seen 6d ago

Aliases: How Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?

Co-occurring entities

Lexical Multidimensional Analysis

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Recent events (1)

4arXiv · cs.CL·6d ago·source ↗

Study finds RAG transfers ideological bias into LLM outputs, with temperature modulating strength of transfer

A new arXiv paper investigates how ideological content in retrieved documents propagates into LLM-generated answers under a RAG framework. Using Lexical Multidimensional Analysis on 1,117 COVID-19 treatment articles as the retrieval corpus, the authors find that RAG reliably transmits ideological discourse into model outputs, with the effect peaking at moderate sampling temperatures and diminishing at low temperatures where deterministic sampling suppresses discourse transfer. The work highlights an underexplored bias vector in RAG pipelines beyond factual hallucination.

Evaluation and Benchmarking AI Safety Research Lexical Multidimensional Analysis How Temperature Shapes Ideological Discourse in Retrieval-Augmented Generation?