--- title: "Donald Metzler — author profile and papers" description: "Donald Metzler, Google (United States): 4 papers on Elamur Research (2020–2024), h-index 47 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/donald-metzler/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/donald-metzler/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Donald Metzler # Donald Metzler 4 papers on this site · 2020–2024 current affiliation [Google (United States)](https://ror.org/00njsd438), Mountain View, United States; [University of Massachusetts Amherst](https://ror.org/0072zz521), Amherst Center, United States; [Google DeepMind (United Kingdom)](https://ror.org/00971b260), London, United Kingdom Donald Metzler has 4 papers on this site, in 2020–2024, 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Yi Tay](https://md.research.elamur.ai/free/en/authors/yi-tay/), [Dara Bahri](https://md.research.elamur.ai/free/en/authors/dara-bahri/), [Mostafa Dehghani](https://md.research.elamur.ai/free/en/authors/mostafa-dehghani/). [OpenAlex](https://openalex.org/A5000115067) · [ORCID](https://orcid.org/0000-0003-4276-6269) · [**h-index 47**](https://openalex.org/authors/A5000115067) · [160 works](https://openalex.org/works?filter=author.id:A5000115067) · [10 644 citations](https://openalex.org/works?filter=author.id:A5000115067&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [4 works on this site](https://md.research.elamur.ai/free/en/authors/donald-metzler/#papers) · [2 701 citations in our library](https://md.research.elamur.ai/free/en/authors/donald-metzler/cited-by/) · 6 more works in our library 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=Donald+Metzler) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Donald+Metzler) · [dblp](https://dblp.org/search?q=Donald+Metzler) · [ACL Anthology](https://aclanthology.org/search/?q=Donald+Metzler) ## Affiliations - [Google (United States)](https://ror.org/00njsd438) · Mountain View, United States —current · 2012–2025 on 79 papers - [University of Massachusetts Amherst](https://ror.org/0072zz521) · Amherst Center, United States —current · 2004–2025 on 19 papers - [Google DeepMind (United Kingdom)](https://ror.org/00971b260) · London, United Kingdom —current · 2025 on 1 paper - [Université de Montréal](https://ror.org/0161xgx34) · Montreal, Canada —2021 on 2 papers - [University of Southern California](https://ror.org/03taz7m60) · Los Angeles, United States —2010–2012 on 22 papers - [Yahoo (United States)](https://ror.org/040dkzz12) · Sunnyvale, United States —2008–2010 on 13 papers - [Yahoo (United Kingdom)](https://ror.org/038p3gq39) · London, United Kingdom —2009 on 2 papers From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Topics [Language models & pretraining 2](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression 2](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Evaluation & benchmarks 1](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Papers The most cited first (OpenAlex and our library). 1. **[Emergent Abilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/)** *(2022 · 2 215 citations)* Scaling laws usually describe language model performance improving smoothly as models grow. This paper looks at the cases where that doesn't happen. The authors call an ability "emergent" if small models lack it and larger ones have it, which means you can't forecast it by extending the trend from smaller models.… 2. **[Efficient Transformers: A Survey](https://md.research.elamur.ai/free/en/papers/tay-2020-efficient-transformers-survey/)** *(2020 · 1 513 citations)* Self-attention compares every token with every other token, so its time and memory costs grow quadratically with sequence length. 3. **[Long Range Arena: A Benchmark for Efficient Transformers](https://md.research.elamur.ai/free/en/papers/tay-2020-long-range-arena-benchmark-efficient/)** *(2020 · 396 citations)* Many "efficient" Transformer variants (xformers) have been proposed to get around the quadratic cost of self-attention. 4. **[Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting](https://md.research.elamur.ai/free/en/papers/qin-2024-large-language-models-are-effective/)** *(2024 · 296 citations)* The paper addresses why off-the-shelf LLMs have struggled to rank documents for a query as well as fine-tuned rankers. ## Also in our library 6 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 12 of 22 co-authors with a page, the most papers together first. - [Yi Tay](https://md.research.elamur.ai/free/en/authors/yi-tay/) ×3 - [Dara Bahri](https://md.research.elamur.ai/free/en/authors/dara-bahri/) ×2 - [Mostafa Dehghani](https://md.research.elamur.ai/free/en/authors/mostafa-dehghani/) ×2 - [Barret Zoph](https://md.research.elamur.ai/free/en/authors/barret-zoph/) - [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/) - [Dani Yogatama](https://md.research.elamur.ai/free/en/authors/dani-yogatama/) - [Denny Zhou](https://md.research.elamur.ai/free/en/authors/denny-zhou/) - [Jason Wei](https://md.research.elamur.ai/free/en/authors/jason-wei/) - [Jiaming Shen](https://md.research.elamur.ai/free/en/authors/jiaming-shen/) - [Kai Hui](https://md.research.elamur.ai/free/en/authors/kai-hui/) - [Liu Yang](https://md.research.elamur.ai/free/en/authors/liu-yang/) - [Maarten Bosma](https://md.research.elamur.ai/free/en/authors/maarten-bosma/) ## Cited by Papers of our library cite their works 2 701 times (of the 140 884 papers whose bibliographies we read); [188 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/donald-metzler/cited-by/).