--- title: "Jonas Pfeiffer — papers" description: "Jonas Pfeiffer: 7 papers in the Elamur Research library (2020–2022) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/jonas-pfeiffer/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jonas-pfeiffer/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jonas Pfeiffer # Jonas Pfeiffer 7 papers on this site (2020–2022) [OpenAlex](https://openalex.org/A5024983536) · [ORCID](https://orcid.org/0000-0002-8634-6170) · h-index 16 · 54 works · 2520 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [Lifting the Curse of Multilinguality by Pre-training Modular Transformers](https://md.research.elamur.ai/free/en/papers/pfeiffer-2022-lifting-curse-multilinguality-pre-training/) — Jonas Pfeiffer, Naman Goyal, Xi Victoria Lin, et al. · 2022 - [AdapterDrop: On the Efficiency of Adapters in Transformers](https://md.research.elamur.ai/free/en/papers/ruckle-2021-adapterdrop-efficiency-adapters-transformers/) — Andreas Rücklé, Gregor Geigle, Max Glockner, et al. · 2021 - [How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/rust-2021-how-good-is-your-tokenizer/) — Phillip Rust, Jonas Pfeiffer, Ivan Vulić, et al. · 2021 - [UNKs Everywhere: Adapting Multilingual Language Models to New Scripts](https://md.research.elamur.ai/free/en/papers/pfeiffer-2021-unks-everywhere-adapting-multilingual-language/) — Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al. · 2021 - [AdapterFusion: Non-Destructive Task Composition for Transfer Learning](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterfusion-non-destructive-task-composition/) — Jonas Pfeiffer, Aishwarya Kamath, Andreas Rücklé, et al. · 2020 - [AdapterHub: A Framework for Adapting Transformers](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-adapterhub-framework-adapting-transformers/) — Jonas Pfeiffer, Andreas Rücklé, Clifton Poth, et al. · 2020 - [MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer](https://md.research.elamur.ai/free/en/papers/pfeiffer-2020-mad-x-adapter-based-framework/) — Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, et al. · 2020