--- title: "Artidoro Pagnoni — author profile and papers in our library" description: "Artidoro Pagnoni, University of Washington: 2 papers on Elamur Research (2021–2023), h-index 7 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/artidoro-pagnoni/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/artidoro-pagnoni/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Artidoro Pagnoni # Artidoro Pagnoni Artidoro Pagnoni has 2 papers in our library, in 2021–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Ari Holtzman](https://md.research.elamur.ai/free/en/authors/ari-holtzman/), [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/), [Tim Dettmers](https://md.research.elamur.ai/free/en/authors/tim-dettmers/). 2 papers in our library · 2021–2023 [OpenAlex](https://openalex.org/A5018367168) · [**h-index 7**](https://openalex.org/authors/A5018367168) · [26 works](https://openalex.org/works?filter=author.id:A5018367168) · [1,716 citations](https://openalex.org/works?filter=author.id:A5018367168&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/artidoro-pagnoni/#papers) · [🔗 Cited 1,789 times in our library](https://md.research.elamur.ai/free/en/authors/artidoro-pagnoni/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #965](https://md.research.elamur.ai/free/en/paper-stars/page/10/#star-965) 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=Artidoro+Pagnoni) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Artidoro+Pagnoni) · [dblp](https://dblp.org/search?q=Artidoro+Pagnoni) · [ACL Anthology](https://aclanthology.org/search/?q=Artidoro+Pagnoni) ## Affiliations [🎓**University of Washington** Seattle · United States 2022–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2020–2022 · 7 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Harvard University** Cambridge · United States 2018–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🏢**Microsoft** Redmond · United States 2018–2019 · 2 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## 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 4 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) 💡 Concepts 3 Key ideas and methods explained on our concept pages.[Fine-tuning · 1 work](https://md.research.elamur.ai/free/en/concepts/fine-tuning/) · [Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/) · [Text summarization · 1 work](https://md.research.elamur.ai/free/en/concepts/text-summarization/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/artidoro-pagnoni/year/2023/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/artidoro-pagnoni/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[QLoRA: Efficient Finetuning of Quantized LLMs](https://md.research.elamur.ai/free/en/papers/dettmers-2023-qlora-efficient-finetuning-quantized-llms/)** *(2023 · 2,929 citations)* Fine-tuning large language models requires a great deal of GPU memory. For example, LLaMA 65B in standard 16-bit mode needs more than 780 GB. The authors propose QLoRA, a method in which the base model is frozen and stored in 4-bit form, and only small LoRA adapters added to every layer of the network are trained.… 2. **[Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/)** *(2021 · 420 citations)* Neural abstractive summarizers write fluent text that often misstates facts from the source. Existing factuality metrics could not be compared because there was no shared benchmark, and they all reduce factuality to a yes/no label for a whole summary. ## All works 6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[QLoRA: Efficient Finetuning of Quantized LLMs](https://md.research.elamur.ai/free/en/papers/dettmers-2023-qlora-efficient-finetuning-quantized-llms/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, et al.*2023 · 2,929 citations* 2. **[Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics](https://md.research.elamur.ai/free/en/papers/pagnoni-2021-understanding-factuality-abstractive-summarization-frank/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov*2021 · 420 citations* 3. **[Byte Latent Transformer: Patches Scale Better Than Tokens ↗](https://aclanthology.org/2025.acl-long.453/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Artidoro Pagnoni et al.*2025 · 73 citations* 4. **[Fast Byte Latent Transformer ↗](https://arxiv.org/abs/2605.08044) arXiv (Cornell University) · no summary yet**Julie Kallini et al.*2026 · 1 citation* 5. **[Compute Optimal Tokenization ↗](https://arxiv.org/abs/2605.01188) arXiv (Cornell University) · no summary yet**Tomasz Limisiewicz et al.*2026 · 1 citation* 6. **[Breaking the Token Ceiling: Distilling Smaller, Stronger Byte Models ↗](https://arxiv.org/abs/2609.12303) arXiv (Cornell University) · no summary yet**Kalyani Marathe et al.*2026* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Ari Holtzman](https://md.research.elamur.ai/free/en/authors/ari-holtzman/) - [Luke Zettlemoyer](https://md.research.elamur.ai/free/en/authors/luke-zettlemoyer/) - [Tim Dettmers](https://md.research.elamur.ai/free/en/authors/tim-dettmers/) - [Vidhisha Balachandran](https://md.research.elamur.ai/free/en/authors/vidhisha-balachandran/) - [Yulia Tsvetkov](https://md.research.elamur.ai/free/en/authors/yulia-tsvetkov/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2021](https://md.research.elamur.ai/free/en/venues/naacl/2021/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) - Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 1,789 times (of the 149,439 papers whose bibliographies we read); [257 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/artidoro-pagnoni/cited-by/). Updated 30 October 2026