--- title: "Who cites RichRAG: Crafting Rich — 7 citing papers" description: "7 papers of the Elamur Research library cite «RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented…" canonical: "https://research.elamur.ai/free/en/papers/wang-2025-richrag-crafting-rich-responses-multi/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wang-2025-richrag-crafting-rich-responses-multi/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [RichRAG: Crafting Rich Responses for…](https://md.research.elamur.ai/free/en/papers/wang-2025-richrag-crafting-rich-responses-multi/) / cited by # Who cites «RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation» 7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation»](https://md.research.elamur.ai/free/en/papers/wang-2025-richrag-crafting-rich-responses-multi/) 1. **[A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Lei Huang, Weijiang Yu, Weitao Ma, et al.*2023 · 3,231 citations* 2. **[OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain](https://md.research.elamur.ai/free/en/papers/wang-2025-omnieval-omnidirectional-automatic-rag-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shuting Wang, Jiejun Tan, Zhicheng Dou, et al.*2025 · 24 citations* 5 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/wang-2025-richrag-crafting-rich-responses-multi/) — RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation