---
title: "Alexander M. Rush — all works — Elamur Research"
description: "All 50 works of Alexander M. Rush in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/alexander-m-rush/works/"
---
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# Alexander M. Rush — all works

50 works · [← Alexander M. Rush](https://md.research.elamur.ai/free/en/authors/alexander-m-rush/)

1. **[A Neural Attention Model for Abstractive Sentence Summarization](https://md.research.elamur.ai/free/en/papers/rush-2015-neural-attention-model-abstractive-sentence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexander M. Rush, Sumit Chopra, Jason Weston*2015 · 3,390 citations*
2. **[OpenNMT: Open-Source Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/klein-2017-opennmt-open-source-toolkit-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guillaume Klein, Yoon Kim, Yuntian Deng, et al.*2017 · 2,475 citations*
3. **[Character-Aware Neural Language Models](https://md.research.elamur.ai/free/en/papers/kim-2015-character-aware-neural-language-models/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Yoon Kim, Yacine Jernite, David Sontag, et al.*2015 · 1,874 citations*
4. **[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations*
5. **[Sequence-Level Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/kim-2016-sequence-level-knowledge-distillation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yoon Kim, Alexander M. Rush*2016 · 1,464 citations*
6. **[Abstractive Sentence Summarization with Attentive Recurrent Neural Networks](https://md.research.elamur.ai/free/en/papers/chopra-2016-abstractive-sentence-summarization-attentive-recurrent/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sumit Chopra, Michael Auli, Alexander M. Rush*2016 · 1,094 citations*
7. **[Bottom-Up Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sebastian Gehrmann, Yuntian Deng, Alexander Rush*2018 · 947 citations*
8. **[Challenges in Data-to-Document Generation](https://md.research.elamur.ai/free/en/papers/wiseman-2017-challenges-data-document-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sam Wiseman, Stuart M. Shieber, Alexander M. Rush*2017 · 856 citations*
9. **[GLTR: Statistical Detection and Visualization of Generated Text](https://md.research.elamur.ai/free/en/papers/gehrmann-2019-gltr-statistical-detection-visualization-generated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush*2019 · 697 citations*
10. **[Sequence-to-Sequence Learning as Beam-Search Optimization ↗](https://aclanthology.org/D16-1137/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sam Wiseman, Alexander M. Rush*2016 · 657 citations*
11. [**Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks**Jason Weston, Antoine Bordes, Sumit Chopra, et al.*Mova's core list · 555 citations*](https://md.research.elamur.ai/free/en/papers/weston-2015-towards-ai-complete-question-answering/)
12. **[Commonsense Knowledge Mining from Pretrained Models](https://md.research.elamur.ai/free/en/papers/davison-2019-commonsense-knowledge-mining-pretrained-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Joe Davison, Joshua Feldman, Alexander Rush*2019 · 413 citations*
13. **[Parameter-Efficient Transfer Learning with Diff Pruning](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Demi Guo, Alexander Rush, Yoon Kim*2021 · 367 citations*
14. **[How many data points is a prompt worth?](https://md.research.elamur.ai/free/en/papers/scao-2021-how-many-data-points-is/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Teven Le Scao, Alexander Rush*2021 · 320 citations*
15. **[Learning Neural Templates for Text Generation](https://md.research.elamur.ai/free/en/papers/wiseman-2018-learning-neural-templates-text-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sam Wiseman, Stuart Shieber, Alexander Rush*2018 · 287 citations*
16. **[Learning Global Features for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/wiseman-2016-learning-global-features-coreference-resolution/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Sam Wiseman, Alexander M. Rush, Stuart M. Shieber*2016 · 264 citations*
17. **[Scaling Data-Constrained Language Models ↗](https://arxiv.org/abs/2305.16264) arXiv:2305.16264 · no summary yet**Niklas Muennighoff et al.*2023 · 249 citations*
18. **[On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/rush-2010-dual-decomposition-linear-programming-relaxations/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alexander M. Rush, David Sontag, Michael Collins, et al.*2010 · 240 citations*
19. **[Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/wiseman-2015-learning-anaphoricity-antecedent-ranking-features/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sam Wiseman, Alexander M. Rush, Stuart Shieber, et al.*2015 · 209 citations*
20. **[Compound Probabilistic Context-Free Grammars for Grammar Induction](https://md.research.elamur.ai/free/en/papers/kim-2019-compound-probabilistic-context-free-grammars/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yoon Kim, Chris Dyer, Alexander Rush*2019 · 201 citations*
21. **[Block Pruning For Faster Transformers](https://md.research.elamur.ai/free/en/papers/lagunas-2021-block-pruning-faster-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**François Lagunas, Ella Charlaix, Victor Sanh, et al.*2021 · 199 citations*
22. **[OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents](https://md.research.elamur.ai/free/en/papers/lauren-ccon-2023-obelics-open-web-scale-filtered/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.*2023 · 197 citations*
23. **[Structured Attention Networks ↗](https://arxiv.org/abs/1702.00887) arXiv (Cornell University) · no summary yet**Yoon Kim et al.*2017 · 188 citations*
24. **[Unsupervised Recurrent Neural Network Grammars ↗](https://aclanthology.org/N19-1114/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Yoon Kim et al.*2019 · 168 citations*
25. **[Simple and Effective Masked Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/sahoo-2024-simple-effective-masked-diffusion-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.*2024 · 152 citations*
26. **[Neural Linguistic Steganography ↗](https://aclanthology.org/D19-1115/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Zachary Ziegler, Yuntian Deng, Alexander Rush*2019 · 148 citations*
27. **[Text Embeddings Reveal (Almost) As Much As Text](https://md.research.elamur.ai/free/en/papers/morris-2023-text-embeddings-reveal-almost-as/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.*2023 · 147 citations*
28. **[OpenNMT: Neural Machine Translation Toolkit ↗](https://aclanthology.org/W18-1817/) Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) · no summary yet**Guillaume Klein et al.*2018 · 131 citations*
29. **[Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/belinkov-2019-don-t-take-premise-granted/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.*2019 · 123 citations*
30. **[Image-to-Markup Generation with Coarse-to-Fine Attention ↗](https://arxiv.org/abs/1609.04938) arXiv:1609.04938 · no summary yet**Yuntian Deng et al.*2016 · 116 citations*
31. **[Sequence-Level Mixed Sample Data Augmentation ↗](https://aclanthology.org/2020.emnlp-main.447/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Demi Guo, Yoon Kim, Alexander Rush*2020 · 114 citations*
32. **[GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction ↗](https://aclanthology.org/2021.eacl-main.52/) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yet**Xinya Du, Alexander Rush, Claire Cardie*2021 · 108 citations*
33. **[Latent Alignment and Variational Attention ↗](https://arxiv.org/abs/1807.03756) arXiv (Cornell University) · no summary yet**Yuntian Deng et al.*2018 · 98 citations*
34. **[On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/belinkov-2019-adversarial-removal-hypothesis-only-bias/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.*2019 · 96 citations*
35. **[Torch-Struct: Deep Structured Prediction Library ↗](https://aclanthology.org/2020.acl-demos.38/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yet**Rush, Alexander*2020 · 93 citations*
36. **[Dual Decomposition for Parsing with Non-Projective Head Automata](https://md.research.elamur.ai/free/en/papers/koo-2010-dual-decomposition-parsing-non-projective/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Terry Koo, Alexander M. Rush, Michael Collins, et al.*2010 · 82 citations*
37. **[Semi-Amortized Variational Autoencoders ↗](https://arxiv.org/abs/1802.02550) arXiv (Cornell University) · no summary yet**Yoon Kim et al.*2018 · 78 citations*
38. **[Adapting Sequence Models for Sentence Correction](https://md.research.elamur.ai/free/en/papers/schmaltz-2017-adapting-sequence-models-sentence-correction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Allen Schmaltz, Yoon Kim, Alexander Rush, et al.*2017 · 77 citations*
39. **[Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation ↗](https://aclanthology.org/P11-1008/) Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Alexander M. Rush, Michael Collins*2011 · 73 citations*
40. **[Training for Diversity in Image Paragraph Captioning ↗](https://aclanthology.org/D18-1084/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Luke Melas-Kyriazi, Alexander Rush, George Han*2018 · 67 citations*
41. **[Avoiding Latent Variable Collapse With Generative Skip Models ↗](https://arxiv.org/abs/1807.04863) arXiv (Cornell University) · no summary yet**Adji Bousso Dieng et al.*2018 · 61 citations*
42. **[The Mamba in the Llama: Distilling and Accelerating Hybrid Models ↗](https://arxiv.org/abs/2408.15237) arXiv:2408.15237 · no summary yet**Junxiong Wang; Daniele Paliotta; Avner May; Alexander M. Rush;, Tri Dao*2024 · 59 citations*
43. **[Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction ↗](https://aclanthology.org/W16-0528/) Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications · no summary yet**Allen Schmaltz et al.*2016 · 57 citations*
44. **[Induction of Probabilistic Synchronous Tree-Insertion Grammars for Machine Translation ↗](https://aclanthology.org/2006.amta-papers.15/) Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers · no summary yet**Rebecca Nesson, Stuart Shieber, Alexander Rush*2006 · 56 citations*
45. **[Adversarially Regularized Autoencoders for Generating Discrete Structures. ↗](https://arxiv.org/abs/1706.04223) arXiv (Cornell University) · no summary yet**Junbo Zhao et al.*2017 · 52 citations*
46. **[A Tutorial on Deep Latent Variable Models of Natural Language ↗](https://arxiv.org/abs/1812.06834) arXiv (Cornell University) · no summary yet**Yoon Kim, Sam Wiseman, Alexander M. Rush*2018 · 42 citations*
47. [**MambaByte: Token-free Selective State Space Model arXiv:2401.13660**Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, et al.*2024 · 35 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-mambabyte-token-free-selective-state/)
48. **[Rationales for Sequential Predictions ↗](https://aclanthology.org/2021.emnlp-main.807/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Keyon Vafa et al.*2021 · 28 citations*
49. **[Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field ↗](https://doi.org/10.1007/978-3-030-87237-3_35) Lecture notes in computer science · no summary yet**Stanislav Lukyanenko et al.*2021 · 15 citations*
50. **[Deep Latent Variable Models of Natural Language ↗](https://openalex.org/W3088495471) Empirical Methods in Natural Language Processing · no summary yet**Alexander M. Rush, Yoon Kim, Sam Wiseman*2018 · 6 citations*