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title: "Who cites A Neural Attention — page 2 — 734 citing papers"
description: "734 papers of the Elamur Research library cite «A Neural Attention Model for Abstractive Sentence Summarization», found in their…"
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# Who cites «A Neural Attention Model for Abstractive Sentence Summarization»

734 papers of our library cite it (of the 149,439 whose bibliographies we read) · 135 with a page here, the most cited first · page 2 of 2 · 101–135 · [← back to «A Neural Attention Model for Abstractive Sentence Summarization»](https://md.research.elamur.ai/free/en/papers/rush-2015-neural-attention-model-abstractive-sentence/)

[← prev](https://md.research.elamur.ai/free/en/papers/rush-2015-neural-attention-model-abstractive-sentence/cited-by/) [1](https://md.research.elamur.ai/free/en/papers/rush-2015-neural-attention-model-abstractive-sentence/cited-by/) **2**

101. **[SummScreen: A Dataset for Abstractive Screenplay Summarization](https://md.research.elamur.ai/free/en/papers/chen-2022-summscreen-dataset-abstractive-screenplay-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingda Chen, Zewei Chu, Sam Wiseman, et al.*2022 · 136 citations*
102. **[Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs](https://md.research.elamur.ai/free/en/papers/chen-2021-structure-aware-abstractive-conversation-summarization/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jiaao Chen, Diyi Yang*2021 · 135 citations*
103. **[Task-aware Retrieval with Instructions](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Akari Asai, Timo Schick, Patrick Lewis, et al.*2023 · 132 citations*
104. **[Efficient Nearest Neighbor Language Models](https://md.research.elamur.ai/free/en/papers/he-2021-efficient-nearest-neighbor-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick*2021 · 130 citations*
105. **[Scheduled Multi-Task Learning: From Syntax to Translation](https://md.research.elamur.ai/free/en/papers/kiperwasser-2018-scheduled-multi-task-learning-syntax/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Eliyahu Kiperwasser, Miguel Ballesteros*2018 · 130 citations*
106. **[Improving Factual Consistency of Abstractive Summarization via Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2021-improving-factual-consistency-abstractive-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, et al.*2021 · 129 citations*
107. **[Insertion-based Decoding with Automatically Inferred Generation Order](https://md.research.elamur.ai/free/en/papers/gu-2019-insertion-based-decoding-automatically-inferred/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiatao Gu, Qi Liu, Kyunghyun Cho*2019 · 125 citations*
108. [**Encode, Tag, Realize: High-Precision Text Editing arXiv:1909.01187**Eric Malmi, Sebastian Krause, Sascha Rothe, et al.*2019 · 120 citations*](https://md.research.elamur.ai/free/en/papers/malmi-2019-encode-tag-realize-high-precision/)
109. **[Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation](https://md.research.elamur.ai/free/en/papers/mou-2016-sequence-backward-forward-sequences-content/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Lili Mou, Yiping Song, Rui Yan, et al.*2016 · 117 citations*
110. **[MLSUM: The Multilingual Summarization Corpus](https://md.research.elamur.ai/free/en/papers/scialom-2020-mlsum-multilingual-summarization-corpus/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, et al.*2020 · 115 citations*
111. [**ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning arXiv:2111.10952**Vamsi Aribandi, Yi Tay, Tal Schuster, et al.*2021 · 114 citations*](https://md.research.elamur.ai/free/en/papers/aribandi-2021-ext5-towards-extreme-multi-task/)
112. **[On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling](https://md.research.elamur.ai/free/en/papers/gerz-2018-relation-between-linguistic-typology-limitations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, et al.*2018 · 113 citations*
113. [**Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems arXiv:1511.06931**Jesse Dodge, Andreea Gane, Xiang Zhang, et al.*2015 · 111 citations*](https://md.research.elamur.ai/free/en/papers/dodge-2015-evaluating-prerequisite-qualities-learning-end/)
114. **[FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/wan-2022-factpegasus-factuality-aware-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Wan, Mohit Bansal*2022 · 101 citations*
115. [**Formalizing and Benchmarking Prompt Injection Attacks and Defenses arXiv:2310.12815**Yupei Liu, Yuqi Jia, Runpeng Geng, et al.*2023 · 84 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-formalizing-benchmarking-prompt-injection-attacks/)
116. **[On Decoding Strategies for Neural Text Generators](https://md.research.elamur.ai/free/en/papers/wiher-2022-decoding-strategies-neural-text-generators/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Gian Wiher, Clara Meister, Ryan Cotterell*2022 · 81 citations*
117. **[Coreference-Aware Dialogue Summarization](https://md.research.elamur.ai/free/en/papers/liu-2021-coreference-aware-dialogue-summarization/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Zhengyuan Liu, Ke Shi, Nancy Chen*2021 · 81 citations*
118. **[AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/eddine-2022-arabart-pretrained-arabic-sequence-sequence/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Moussa Kamal Eddine, Nadi Tomeh, Nizar Habash, et al.*2022 · 80 citations*
119. [**Pragmatically Informative Text Generation**Sheng Shen, Daniel Fried, Jacob Andreas, et al.*2019 · 78 citations*](https://md.research.elamur.ai/free/en/papers/shen-2019-pragmatically-informative-text-generation/)
120. **[Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization](https://md.research.elamur.ai/free/en/papers/laskar-2022-domain-adaptation-pre-trained-transformers/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang*2022 · 76 citations*
121. [**code2seq: Generating Sequences from Structured Representations of Code arXiv:1808.01400**Uri Alon, Shaked Brody, Omer Levy, et al.*2018 · 72 citations*](https://md.research.elamur.ai/free/en/papers/alon-2018-code2seq-generating-sequences-structured-representations/)
122. **[Chinese Zero Pronoun Resolution with Deep Memory Network](https://md.research.elamur.ai/free/en/papers/yin-2017-chinese-zero-pronoun-resolution-deep/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyu Yin, Yu Zhang, Weinan Zhang, et al.*2017 · 55 citations*
123. **[Plain English Summarization of Contracts](https://md.research.elamur.ai/free/en/papers/manor-2019-plain-english-summarization-contracts/) [Natural Legal Language Processing Workshop](https://md.research.elamur.ai/free/en/venues/nllp/)**Laura Manor, Junyi Jessy Li*2019 · 51 citations*
124. **[Neural-based Context Representation Learning for Dialog Act Classification](https://md.research.elamur.ai/free/en/papers/ortega-2017-neural-based-context-representation-learning/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Daniel Ortega, Ngoc Thang Vu*2017 · 51 citations*
125. **[MACSum: Controllable Summarization with Mixed Attributes](https://md.research.elamur.ai/free/en/papers/zhang-2023-macsum-controllable-summarization-mixed-attributes/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yusen Zhang, Yang Liu, Ziyi Yang, et al.*2023 · 37 citations*
126. [**Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing arXiv:2305.16635**Jaehun Jung, Peter West, Liwei Jiang, et al.*2023 · 36 citations*](https://md.research.elamur.ai/free/en/papers/jung-2023-impossible-distillation-low-quality-model/)
127. [**From Shakespeare to Twitter: What are Language Styles all about?**Wei Xu*2017 · 29 citations*](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/)
128. [**Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach**Shafiq Joty, Tasnim Mohiuddin*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/)
129. **[Cross-lingual Fine-tuning for Abstractive Arabic Text Summarization](https://md.research.elamur.ai/free/en/papers/kahla-2021-cross-lingual-fine-tuning-abstractive/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Mram Kahla, Zijian Győző Yang, Attila Novák*2021 · 18 citations*
130. **[FinAraT5: A text to text model for financial Arabic text understanding and generation](https://md.research.elamur.ai/free/en/papers/zmandar-2023-finarat5-text-text-model-financial/) [Conference on Language, Data and Knowledge](https://md.research.elamur.ai/free/en/venues/ldk/)**Nadhem Zmandar, Mo El-Haj, Paul Rayson*2023 · 7 citations*
131. [**Transformer Models in Education: Summarizing Science Textbooks with AraBART, MT5, AraT5, and mBART arXiv:2406.07692**Sari Masri; Yaqeen Raddad; Fidaa Khandaqji; Huthaifa I. Ashqar;, Mohammed Elhenawy*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/masri-2024-transformer-models-education-summarizing-science/)
132. [**MÖVE: A Holistic LLM Benchmark for the German Public Sector arXiv:2606.13111**Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/dalerci-2026-m-ove-holistic-llm-benchmark/)
133. [**Development of an Extractive Title Generation System Using Titles of Papers of Top Conferences for Intermediate English Students arXiv:2110.04204 · 2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI), pp.59-64, 2021**Kento Kaku, Masato Kikuchi, Tadachika Ozono, et al.*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kaku-2021-development-extractive-title-generation-system/)
134. **[Comparing Approaches to Automatic Summarization in Less-Resourced Languages](https://md.research.elamur.ai/free/en/papers/michel-2026-comparing-approaches-automatic-summarization-less/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Chester Palen-Michel, Constantine Lignos*2026*
135. [**Extractive Summarization for Arabic Documents Using SAraBERT with a Semantic Siamese Similarity Evaluation Metric arXiv:2608.20964**Sami Shames El Deen, Mariette Awad*2026*](https://md.research.elamur.ai/free/en/papers/deen-2026-extractive-summarization-arabic-documents-using/)

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

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