--- title: "Who cites SciPy 1.0 — Fundamental — 392 citing papers" description: "392 papers of the Elamur Research library cite «SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python», found in their…" canonical: "https://research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [SciPy 1.0 — Fundamental Algorithms for Scientific…](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/) / cited by # Who cites «SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python» 392 papers of our library cite it (of the 141,840 whose bibliographies we read) · 15 with a page here, the most cited first · [← back to «SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python»](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/) 1. [**Learning Transferable Visual Models From Natural Language Supervision arXiv:2103.00020**Alec Radford, Jong Wook Kim, Chris Hallacy, et al.*2021 · 8,328 citations*](https://md.research.elamur.ai/free/en/papers/radford-2021-learning-transferable-visual-models-natural/) 2. [**Robust Speech Recognition via Large-Scale Weak Supervision arXiv:2212.04356**Alec Radford, Jong Wook Kim, Tao Xu, et al.*2022 · 2,501 citations*](https://md.research.elamur.ai/free/en/papers/radford-2022-robust-speech-recognition-large-scale/) **[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* [**Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow arXiv:2209.03003**Xingchao Liu, Chengyue Gong, Qiang Liu*2022 · 254 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-flow-straight-fast-learning-generate/) [**Large Language Monkeys: Scaling Inference Compute with Repeated Sampling arXiv:2407.21787**Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.*2024 · 241 citations*](https://md.research.elamur.ai/free/en/papers/brown-2024-large-language-monkeys-scaling-inference/) [**ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning arXiv:2212.07919**Olga Golovneva, Moya Chen, Spencer Poff, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/golovneva-2022-roscoe-suite-metrics-scoring-step/) **[When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/chang-2024-when-is-multilinguality-curse-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tyler A. Chang, Catherine Arnett, Zhuowen Tu, et al.*2024 · 85 citations* **[Similarities between Arabic Dialects: Investigating Geographical Proximity](https://md.research.elamur.ai/free/en/papers/alsudais-2021-similarities-between-arabic-dialects-investigating/) [Information Processing & Management](https://md.research.elamur.ai/free/en/venues/information-processing-management/)**Abdulkareem Alsudais, Wafa Alotaibi, Faye Alomary*2021 · 42 citations* [**Distillation Scaling Laws arXiv:2502.08606**Dan Busbridge, Amitis Shidani, Floris Weers, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/busbridge-2025-distillation-scaling-laws/) **[DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://md.research.elamur.ai/free/en/papers/martelli-2025-dibimt-gold-evaluation-benchmark-studying/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Federico Martelli, Stefano Perrella, Niccolò Campolungo, et al.*2025 · 11 citations* **[Speciesist Language and Nonhuman Animal Bias in English Masked Language Models](https://md.research.elamur.ai/free/en/papers/takeshita-2022-speciesist-language-nonhuman-animal-bias/) [Information Processing & Management](https://md.research.elamur.ai/free/en/venues/information-processing-management/)**Masashi Takeshita, Rafal Rzepka, Kenji Araki*2022 · 11 citations* [**Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect**Delphine Bernhard, Nathanaël Beiner, Barbara Hoff*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bernhard-2025-pre-annotation-matters-comparative-study/) **[eSciBench: An Extensible Scientific PDF Extraction Benchmark](https://md.research.elamur.ai/free/en/papers/taillon-2026-escibench-extensible-scientific-pdf-extraction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Noah Tremblay Taillon, Phillippe Langlais*2026* **[Non-literal Meaning Representation in the Brain during Naturalistic Listening](https://md.research.elamur.ai/free/en/papers/ma-2026-non-literal-meaning-representation-brain/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Zhengwu Ma, Yuhan Huang, Chengcheng Wang, et al.*2026* **[Parsing Nheengatu: Performance Gains for a Brazilian Indigenous Universal Dependencies Treebank](https://md.research.elamur.ai/free/en/papers/alexandre-2026-parsing-nheengatu-performance-gains-brazilian/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Dominick Maia Alexandre, Leonel Figueiredo de Alencar*2026* 377 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/virtanen-2019-scipy-1-0-fundamental-algorithms/) — SciPy 1.0 — Fundamental Algorithms for Scientific Computing in Python