🧑‍🔬 Alexander M. Rush — all works

50 works · ← Alexander M. Rush

1. A Neural Attention Model for Abstractive Sentence SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Alexander M. Rush, Sumit Chopra, Jason Weston2015 · 3,390 citations
2. OpenNMT: Open-Source Toolkit for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Guillaume Klein, Yoon Kim, Yuntian Deng, et al.2017 · 2,475 citations
3. Character-Aware Neural Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceYoon Kim, Yacine Jernite, David Sontag, et al.2015 · 1,874 citations
4. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
5. Sequence-Level Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP)Yoon Kim, Alexander M. Rush2016 · 1,464 citations
6. Abstractive Sentence Summarization with Attentive Recurrent Neural NetworksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sumit Chopra, Michael Auli, Alexander M. Rush2016 · 1,094 citations
7. Bottom-Up Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Gehrmann, Yuntian Deng, Alexander Rush2018 · 947 citations
8. Challenges in Data-to-Document GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sam Wiseman, Stuart M. Shieber, Alexander M. Rush2017 · 856 citations
9. GLTR: Statistical Detection and Visualization of Generated TextAnnual Meeting of the Association for Computational Linguistics (ACL)Sebastian Gehrmann, Hendrik Strobelt, Alexander M. Rush2019 · 697 citations
10. Sequence-to-Sequence Learning as Beam-Search Optimization ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetSam Wiseman, Alexander M. Rush2016 · 657 citations
11. Towards AI-Complete Question Answering: A Set of Prerequisite Toy TasksJason Weston, Antoine Bordes, Sumit Chopra, et al.Mova's core list · 555 citations
12. Commonsense Knowledge Mining from Pretrained ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Joe Davison, Joshua Feldman, Alexander Rush2019 · 413 citations
13. Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Demi Guo, Alexander Rush, Yoon Kim2021 · 367 citations
14. How many data points is a prompt worth?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Teven Le Scao, Alexander Rush2021 · 320 citations
15. Learning Neural Templates for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sam Wiseman, Stuart Shieber, Alexander Rush2018 · 287 citations
16. Learning Global Features for Coreference ResolutionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sam Wiseman, Alexander M. Rush, Stuart M. Shieber2016 · 264 citations
17. Scaling Data-Constrained Language Models ↗arXiv:2305.16264 · no summary yetNiklas Muennighoff et al.2023 · 249 citations
18. On Dual Decomposition and Linear Programming Relaxations for Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP)Alexander M. Rush, David Sontag, Michael Collins, et al.2010 · 240 citations
19. Learning Anaphoricity and Antecedent Ranking Features for Coreference ResolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Sam Wiseman, Alexander M. Rush, Stuart Shieber, et al.2015 · 209 citations
20. Compound Probabilistic Context-Free Grammars for Grammar InductionAnnual Meeting of the Association for Computational Linguistics (ACL)Yoon Kim, Chris Dyer, Alexander Rush2019 · 201 citations
21. Block Pruning For Faster TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)François Lagunas, Ella Charlaix, Victor Sanh, et al.2021 · 199 citations
22. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 197 citations
23. Structured Attention Networks ↗arXiv (Cornell University) · no summary yetYoon Kim et al.2017 · 188 citations
24. Unsupervised Recurrent Neural Network Grammars ↗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 yetYoon Kim et al.2019 · 168 citations
25. Simple and Effective Masked Diffusion Language ModelsConference on Neural Information Processing Systems (NeurIPS)Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.2024 · 152 citations
26. Neural Linguistic Steganography ↗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 yetZachary Ziegler, Yuntian Deng, Alexander Rush2019 · 148 citations
27. Text Embeddings Reveal (Almost) As Much As TextConference on Empirical Methods in Natural Language Processing (EMNLP)John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.2023 · 147 citations
28. OpenNMT: Neural Machine Translation Toolkit ↗Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) · no summary yetGuillaume Klein et al.2018 · 131 citations
29. Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 123 citations
30. Image-to-Markup Generation with Coarse-to-Fine Attention ↗arXiv:1609.04938 · no summary yetYuntian Deng et al.2016 · 116 citations
31. Sequence-Level Mixed Sample Data Augmentation ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetDemi Guo, Yoon Kim, Alexander Rush2020 · 114 citations
32. GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction ↗Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yetXinya Du, Alexander Rush, Claire Cardie2021 · 108 citations
33. Latent Alignment and Variational Attention ↗arXiv (Cornell University) · no summary yetYuntian Deng et al.2018 · 98 citations
34. On Adversarial Removal of Hypothesis-only Bias in Natural Language InferenceJoint Conference on Lexical and Computational Semantics (*SEM)Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 96 citations
35. Torch-Struct: Deep Structured Prediction Library ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yetRush, Alexander2020 · 93 citations
36. Dual Decomposition for Parsing with Non-Projective Head AutomataConference on Empirical Methods in Natural Language Processing (EMNLP)Terry Koo, Alexander M. Rush, Michael Collins, et al.2010 · 82 citations
37. Semi-Amortized Variational Autoencoders ↗arXiv (Cornell University) · no summary yetYoon Kim et al.2018 · 78 citations
38. Adapting Sequence Models for Sentence CorrectionConference on Empirical Methods in Natural Language Processing (EMNLP)Allen Schmaltz, Yoon Kim, Alexander Rush, et al.2017 · 77 citations
39. Exact Decoding of Syntactic Translation Models through Lagrangian Relaxation ↗Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yetAlexander M. Rush, Michael Collins2011 · 73 citations
40. Training for Diversity in Image Paragraph Captioning ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetLuke Melas-Kyriazi, Alexander Rush, George Han2018 · 67 citations
41. Avoiding Latent Variable Collapse With Generative Skip Models ↗arXiv (Cornell University) · no summary yetAdji Bousso Dieng et al.2018 · 61 citations
42. The Mamba in the Llama: Distilling and Accelerating Hybrid Models ↗arXiv:2408.15237 · no summary yetJunxiong Wang; Daniele Paliotta; Avner May; Alexander M. Rush;, Tri Dao2024 · 59 citations
43. Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction ↗Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications · no summary yetAllen Schmaltz et al.2016 · 57 citations
44. Induction of Probabilistic Synchronous Tree-Insertion Grammars for Machine Translation ↗Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers · no summary yetRebecca Nesson, Stuart Shieber, Alexander Rush2006 · 56 citations
45. Adversarially Regularized Autoencoders for Generating Discrete Structures. ↗arXiv (Cornell University) · no summary yetJunbo Zhao et al.2017 · 52 citations
46. A Tutorial on Deep Latent Variable Models of Natural Language ↗arXiv (Cornell University) · no summary yetYoon Kim, Sam Wiseman, Alexander M. Rush2018 · 42 citations
47. MambaByte: Token-free Selective State Space ModelarXiv:2401.13660Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, et al.2024 · 35 citations
48. Rationales for Sequential Predictions ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetKeyon Vafa et al.2021 · 28 citations
49. Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field ↗Lecture notes in computer science · no summary yetStanislav Lukyanenko et al.2021 · 15 citations
50. Deep Latent Variable Models of Natural Language ↗Empirical Methods in Natural Language Processing · no summary yetAlexander M. Rush, Yoon Kim, Sam Wiseman2018 · 6 citations

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/alexander-m-rush/works/