---
title: "Who cites Neural Latent Extractive Document Summarization"
description: "57 papers of the Elamur Research library cite «Neural Latent Extractive Document Summarization», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/zhang-2018-neural-latent-extractive-document-summarization/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Neural Latent Extractive Document Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-latent-extractive-document-summarization/) / cited by

# Who cites «Neural Latent Extractive Document Summarization»

57 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Neural Latent Extractive Document Summarization»](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-latent-extractive-document-summarization/)

1. **[HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2019-hibert-document-level-pre-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingxing Zhang, Furu Wei, Ming Zhou*2019 · 450 citations*
2. **[Discourse-Aware Neural Extractive Text Summarization](https://md.research.elamur.ai/free/en/papers/xu-2019-discourse-aware-neural-extractive-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiacheng Xu, Zhe Gan, Yu Cheng, et al.*2019 · 385 citations*
3. **[Re-evaluating Evaluation in Text Summarization](https://md.research.elamur.ai/free/en/papers/bhandari-2020-re-evaluating-evaluation-text-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.*2020 · 258 citations*
4. **[Better Rewards Yield Better Summaries: Learning to Summarise Without References](https://md.research.elamur.ai/free/en/papers/bohm-2019-better-rewards-yield-better-summaries/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Florian Böhm, Yang Gao, Christian M. Meyer, et al.*2019 · 123 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-latent-extractive-document-summarization/) — Neural Latent Extractive Document Summarization
