---
title: "Who cites Retrieve, Rerank and Rewrite: — 71 citing papers"
description: "71 papers of the Elamur Research library cite «Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/cao-2018-retrieve-rerank-rewrite-soft-template/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Retrieve, Rerank and Rewrite: Soft Template Based…](https://md.research.elamur.ai/free/en/papers/cao-2018-retrieve-rerank-rewrite-soft-template/) / cited by

# Who cites «Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization»

71 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization»](https://md.research.elamur.ai/free/en/papers/cao-2018-retrieve-rerank-rewrite-soft-template/)

1. **[Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://md.research.elamur.ai/free/en/papers/liu-2021-pre-train-prompt-predict-systematic/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al.*2021 · 5,396 citations*
2. [**Unified Language Model Pre-training for Natural Language Understanding and Generation arXiv:1905.03197**Li Dong, Nan Yang, Wenhui Wang, et al.*2019 · 1,406 citations*](https://md.research.elamur.ai/free/en/papers/dong-2019-unified-language-model-pre-training/)
3. **[ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training](https://md.research.elamur.ai/free/en/papers/qi-2020-prophetnet-predicting-future-n-gram/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weizhen Qi, Yu Yan, Yeyun Gong, et al.*2020 · 453 citations*
4. **[GSum: A General Framework for Guided Neural Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.*2021 · 319 citations*
5. [**Retrieve and Refine: Improved Sequence Generation Models For Dialogue Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI**Jason Weston, Emily Dinan, Alexander Miller*2018 · 255 citations*](https://md.research.elamur.ai/free/en/papers/weston-2018-retrieve-refine-improved-sequence-generation/)
6. **[Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning](https://md.research.elamur.ai/free/en/papers/wang-2021-improving-named-entity-recognition-external/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyu Wang, Yong Jiang, Nguyen Bach, et al.*2021 · 205 citations*
7. **[Controllable Paraphrase Generation with a Syntactic Exemplar](https://md.research.elamur.ai/free/en/papers/chen-2019-controllable-paraphrase-generation-syntactic-exemplar/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingda Chen, Qingming Tang, Sam Wiseman, et al.*2019 · 173 citations*
8. **[Scoring Sentence Singletons and Pairs for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/lebanoff-2019-scoring-sentence-singletons-pairs-abstractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, et al.*2019 · 157 citations*

63 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/cao-2018-retrieve-rerank-rewrite-soft-template/) — Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization