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Beyond Factual Grounding: The Case for Opinion-Aware Retrieval-Augmented Generation

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学术前沿 3.0 分 — Moderate AI relevance +practical(2)
原文: cs.CL updates on arXiv.org

评分 3.0 · 来源:cs.CL updates on arXiv.org · 发布于 2026-04-15

评分依据:Moderate AI relevance +practical(2)

arXiv:2604.12138v1 Announce Type: cross Abstract: RAG systems have transformed how LLMs access external knowledge, but we find that current implementations exhibit a bias toward factual, objective content, as evidenced by existing benchmarks and datasets that prioritize objective retrieval. This factual bias - treating opinions and diverse perspectives as noise rather than information to be synthesized - limits RAG systems in real-world scenarios involving subjective content, from social media…