--- title: "Who cites CONQRR: Conversational Query — 51 citing papers" description: "51 papers of the Elamur Research library cite «CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning», found…" canonical: "https://research.elamur.ai/free/en/papers/wu-2022-conqrr-conversational-query-rewriting-retrieval/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wu-2022-conqrr-conversational-query-rewriting-retrieval/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CONQRR: Conversational Query Rewriting for…](https://md.research.elamur.ai/free/en/papers/wu-2022-conqrr-conversational-query-rewriting-retrieval/) / cited by # Who cites «CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning» 51 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning»](https://md.research.elamur.ai/free/en/papers/wu-2022-conqrr-conversational-query-rewriting-retrieval/) 1. [**Augmented Language Models: a Survey arXiv:2302.07842**Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.*2023 · 366 citations*](https://md.research.elamur.ai/free/en/papers/mialon-2023-augmented-language-models-survey/) **[Bridging the Preference Gap between Retrievers and LLMs](https://md.research.elamur.ai/free/en/papers/ke-2024-bridging-preference-gap-between-retrievers/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zixuan Ke, Weize Kong, Cheng Li, et al.*2024 · 45 citations* 49 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/wu-2022-conqrr-conversational-query-rewriting-retrieval/) — CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning