--- title: "Alexander Rush — papers" description: "Alexander Rush: 7 papers in the Elamur Research library (2017–2024) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/alexander-rush/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/alexander-rush/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Alexander Rush # Alexander Rush 7 papers on this site (2017–2024) [OpenAlex](https://openalex.org/A5062546146) · [ORCID](https://orcid.org/0000-0002-9900-1606) · h-index 56 · 189 works · 27358 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Simple and Effective Masked Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/sahoo-2024-simple-effective-masked-diffusion-language/) — Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al. · 2024 - [How many data points is a prompt worth?](https://md.research.elamur.ai/free/en/papers/scao-2021-how-many-data-points-is/) — Teven Le Scao, Alexander Rush · 2021 - [Parameter-Efficient Transfer Learning with Diff Pruning](https://md.research.elamur.ai/free/en/papers/guo-2021-parameter-efficient-transfer-learning-diff/) — Demi Guo, Alexander Rush, Yoon Kim · 2021 - [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/) — Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al. · 2019 - [Bottom-Up Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/gehrmann-2018-bottom-up-abstractive-summarization/) — Sebastian Gehrmann, Yuntian Deng, Alexander Rush · 2018 - [Learning Neural Templates for Text Generation](https://md.research.elamur.ai/free/en/papers/wiseman-2018-learning-neural-templates-text-generation/) — Sam Wiseman, Stuart Shieber, Alexander Rush · 2018 - [OpenNMT: Open-Source Toolkit for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/klein-2017-opennmt-open-source-toolkit-neural/) — Guillaume Klein, Yoon Kim, Yuntian Deng, et al. · 2017