--- title: "Kevin Leyton-Brown — author profile and papers in our library" description: "Kevin Leyton-Brown: 2 papers on Elamur Research (2023–2024) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/kevin-leyton-brown/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kevin-leyton-brown/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kevin Leyton-Brown # Kevin Leyton-Brown Kevin Leyton-Brown has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Amnon Shashua](https://md.research.elamur.ai/free/en/authors/amnon-shashua/), [Inbal Magar](https://md.research.elamur.ai/free/en/authors/inbal-magar/), [Nir Ratner](https://md.research.elamur.ai/free/en/authors/nir-ratner/). 2 papers in our library · 2023–2024 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kevin-leyton-brown/#papers) · [🔗 Cited 114 times in our library](https://md.research.elamur.ai/free/en/authors/kevin-leyton-brown/cited-by/) · [⭐ Paper Stars ranking: #4753](https://md.research.elamur.ai/free/en/paper-stars/page/48/#star-4753) 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=Kevin+Leyton-Brown) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kevin+Leyton-Brown) · [dblp](https://dblp.org/search?q=Kevin+Leyton-Brown) · [ACL Anthology](https://aclanthology.org/search/?q=Kevin+Leyton-Brown) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 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/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2024** 1 paper Generating Benchmarks for Factuality Evaluation of Language Models](https://md.research.elamur.ai/free/en/papers/muhlgay-2024-generating-benchmarks-factuality-evaluation-language/) · [**2023** 1 paper Parallel Context Windows for Large Language Models](https://md.research.elamur.ai/free/en/papers/ratner-2023-parallel-context-windows-large-language/) ## Papers The most cited first (OpenAlex and our library). 1. **[Parallel Context Windows for Large Language Models](https://md.research.elamur.ai/free/en/papers/ratner-2023-parallel-context-windows-large-language/)** *(2023 · 102 citations)* Off-the-shelf large language models can only read a fixed number of tokens at once. This limits in-context learning, multi-document question answering and other long-input uses. Earlier fixes usually needed specially trained architectures. The authors propose Parallel Context Windows (PCW), which works with any… 2. **[Generating Benchmarks for Factuality Evaluation of Language Models](https://md.research.elamur.ai/free/en/papers/muhlgay-2024-generating-benchmarks-factuality-evaluation-language/)** *(2024 · 79 citations)* Measuring how often a language model produces false statements in a given domain is hard. Methods that fact-check a model's own samples cannot choose which facts get tested, and they favour common knowledge over rare or domain-specific facts. Perplexity is often used as a stand-in, but it reflects many linguistic… ## Co-authors here 8 co-authors with a page, the most papers together first. - [Amnon Shashua](https://md.research.elamur.ai/free/en/authors/amnon-shashua/) ×2 - [Inbal Magar](https://md.research.elamur.ai/free/en/authors/inbal-magar/) ×2 - [Nir Ratner](https://md.research.elamur.ai/free/en/authors/nir-ratner/) ×2 - [Omri Abend](https://md.research.elamur.ai/free/en/authors/omri-abend/) ×2 - [Ori Ram](https://md.research.elamur.ai/free/en/authors/ori-ram/) ×2 - [Yoav Levine](https://md.research.elamur.ai/free/en/authors/yoav-levine/) ×2 - [Yoav Shoham](https://md.research.elamur.ai/free/en/authors/yoav-shoham/) ×2 - [Yonatan Belinkov](https://md.research.elamur.ai/free/en/authors/yonatan-belinkov/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2024](https://md.research.elamur.ai/free/en/venues/eacl/2024/) ## Cited by Papers of our library cite their works 114 times (of the 141,840 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kevin-leyton-brown/cited-by/). Updated 24 October 2026