--- title: "David Uthus — author profile and papers — Elamur Research" description: "David Uthus: 2 papers on Elamur Research (2022–2023), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/david-uthus/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/david-uthus/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / David Uthus # David Uthus David Uthus has 2 papers in our library, in 2022–2023; often with [Joshua Ainslie](https://md.research.elamur.ai/free/en/authors/joshua-ainslie/), [Mandy Guo](https://md.research.elamur.ai/free/en/authors/mandy-guo/), [Santiago Ontañón](https://md.research.elamur.ai/free/en/authors/santiago-ontanon/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5026906002) · [**h-index 9**](https://openalex.org/authors/A5026906002) · [33 works](https://openalex.org/works?filter=author.id:A5026906002) · [527 citations](https://openalex.org/works?filter=author.id:A5026906002&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/david-uthus/#papers) · [🔗 Cited 225 times in our library](https://md.research.elamur.ai/free/en/authors/david-uthus/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3432](https://md.research.elamur.ai/free/en/paper-stars/page/35/#star-3432) 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=David+Uthus) · [Semantic Scholar](https://www.semanticscholar.org/search?q=David+Uthus) · [dblp](https://dblp.org/search?q=David+Uthus) · [ACL Anthology](https://aclanthology.org/search/?q=David+Uthus) ## Affiliations [🏢**Google** Mountain View · United States 2013–2023 · 12 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**United States Naval Research Laboratory** Washington · United States 2011–2013 · 4 papers](https://ror.org/04d23a975) · [🎓**University of Auckland** Auckland · New Zealand 2008–2009 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-auckland/) 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. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) ## Works by year ### 2020s [**2023** 1 paper CoLT5: Faster Long-Range Transformers with Conditional Computation](https://md.research.elamur.ai/free/en/papers/ainslie-2023-colt5-faster-long-range-transformers/) · [**2022** 1 paper LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://md.research.elamur.ai/free/en/papers/guo-2022-longt5-efficient-text-text-transformer/) ## Papers The most cited first (OpenAlex and our library). 1. **[LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://md.research.elamur.ai/free/en/papers/guo-2022-longt5-efficient-text-text-transformer/)** *(2022 · 398 citations)* Standard Transformers such as T5 scale poorly to long documents because full self-attention grows quadratically with input length. 2. **[CoLT5: Faster Long-Range Transformers with Conditional Computation](https://md.research.elamur.ai/free/en/papers/ainslie-2023-colt5-faster-long-range-transformers/)** *(2023 · 83 citations)* Encoding long documents with Transformers is costly. Sparse attention reduces the quadratic attention cost, but the feedforward and projection layers still run on every token and dominate compute in larger models. CoLT5 (Conditional LongT5), from Google Research, extends LongT5 with conditional computation. Each… ## All works 3 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. **[LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://md.research.elamur.ai/free/en/papers/guo-2022-longt5-efficient-text-text-transformer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mandy Guo, Joshua Ainslie, David Uthus, et al.*2022 · 398 citations* 2. **[CoLT5: Faster Long-Range Transformers with Conditional Computation](https://md.research.elamur.ai/free/en/papers/ainslie-2023-colt5-faster-long-range-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Joshua Ainslie, Tao Lei, Michiel de Jong, et al.*2023 · 83 citations* 3. **[Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting](https://arxiv.org/abs/2503.06781) arXiv:2503.06781 · original ↗ · no summary yet**Yufei Li et al.*2025 · 3 citations* ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Joshua Ainslie](https://md.research.elamur.ai/free/en/authors/joshua-ainslie/) ×2 - [Mandy Guo](https://md.research.elamur.ai/free/en/authors/mandy-guo/) ×2 - [Santiago Ontañón](https://md.research.elamur.ai/free/en/authors/santiago-ontanon/) ×2 - [Yun-Hsuan Sung](https://md.research.elamur.ai/free/en/authors/yun-hsuan-sung/) ×2 - [James Lee-Thorp](https://md.research.elamur.ai/free/en/authors/james-lee-thorp/) - [Jianmo Ni](https://md.research.elamur.ai/free/en/authors/jianmo-ni/) - [Michiel de Jong](https://md.research.elamur.ai/free/en/authors/michiel-de-jong/) - [Siddhartha Brahma](https://md.research.elamur.ai/free/en/authors/siddhartha-brahma/) - [Sumit Sanghai](https://md.research.elamur.ai/free/en/authors/sumit-sanghai/) - [Tao Lei](https://md.research.elamur.ai/free/en/authors/tao-lei/) - [Yi Tay](https://md.research.elamur.ai/free/en/authors/yi-tay/) - [Yinfei Yang](https://md.research.elamur.ai/free/en/authors/yinfei-yang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/) ## Cited by Papers of our library cite their works 225 times (of the 141,840 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/david-uthus/cited-by/). Updated 24 October 2026