--- title: "Piotr Nawrot — author profile and papers — Elamur Research" description: "Piotr Nawrot: 2 papers on Elamur Research (2023–2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/piotr-nawrot/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/piotr-nawrot/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Piotr Nawrot # Piotr Nawrot Piotr Nawrot has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Edoardo Maria Ponti](https://md.research.elamur.ai/free/en/authors/edoardo-maria-ponti/), [Jean Kaddour](https://md.research.elamur.ai/free/en/authors/jean-kaddour/), [Kelly Marchisio](https://md.research.elamur.ai/free/en/authors/kelly-marchisio/). 2 papers in our library · 2023–2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/piotr-nawrot/#papers) · [🔗 Cited 31 times in our library](https://md.research.elamur.ai/free/en/authors/piotr-nawrot/cited-by/) · [⭐ Paper Stars ranking: #10052](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10052) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Piotr+Nawrot) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Piotr+Nawrot) · [dblp](https://dblp.org/search?q=Piotr+Nawrot) · [ACL Anthology](https://aclanthology.org/search/?q=Piotr+Nawrot) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/piotr-nawrot/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/piotr-nawrot/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models](https://md.research.elamur.ai/free/en/papers/kaddour-2023-no-train-no-gain-revisiting/)** *(2023 · 30 citations)* Efficient training methods for Transformer language models often claim speed-ups, but these claims tend to rest on uneven comparisons. 2. **[The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs](https://md.research.elamur.ai/free/en/papers/nawrot-2026-sparse-frontier-sparse-attention-trade/)** *(2026 · 10 citations)* Running Transformer LLMs on long inputs is costly. Prefilling cost grows quadratically with input length, and decoding slows down because each step must read an ever-larger KV cache. Many sparse attention techniques promise savings, but it has been unclear how much accuracy they give up in return. The authors present… ## Co-authors here 5 co-authors with a page, the most papers together first. - [Edoardo Maria Ponti](https://md.research.elamur.ai/free/en/authors/edoardo-maria-ponti/) - [Jean Kaddour](https://md.research.elamur.ai/free/en/authors/jean-kaddour/) - [Kelly Marchisio](https://md.research.elamur.ai/free/en/authors/kelly-marchisio/) - [Pasquale Minervini](https://md.research.elamur.ai/free/en/authors/pasquale-minervini/) - [Sebastian Ruder](https://md.research.elamur.ai/free/en/authors/sebastian-ruder/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 31 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/piotr-nawrot/cited-by/). Updated 3 November 2026