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

ArXi:2604.12138v1 Announce Type: new 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 discussions to product reviews.