---
title: "Ehud Karpas — author profile and papers — Elamur Research"
description: "Ehud Karpas, Nvidia: 2 papers on Elamur Research (2023–2024), h-index 2 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ehud-karpas/"
---
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# Ehud Karpas

Ehud Karpas 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Akhiad Bercovich](https://md.research.elamur.ai/free/en/authors/akhiad-bercovich/), [Amnon Shashua](https://md.research.elamur.ai/free/en/authors/amnon-shashua/), [Ido Galil](https://md.research.elamur.ai/free/en/authors/ido-galil/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5050599602) · [**h-index 2**](https://openalex.org/authors/A5050599602) · [6 works](https://openalex.org/works?filter=author.id:A5050599602) · [96 citations](https://openalex.org/works?filter=author.id:A5050599602&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ehud-karpas/#papers) · [🔗 Cited 140 times in our library](https://md.research.elamur.ai/free/en/authors/ehud-karpas/cited-by/) · [⭐ Paper Stars ranking: #8126](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8126)

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=Ehud+Karpas) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ehud+Karpas) · [dblp](https://dblp.org/search?q=Ehud+Karpas) · [ACL Anthology](https://aclanthology.org/search/?q=Ehud+Karpas)

## Affiliations

[🏢**Nvidia** Reading · United Kingdom 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🏢**Nvidia** Santa Clara · United States 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/nvidia/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/ehud-karpas/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/ehud-karpas/year/2023/)

## 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. **[Puzzle: Distillation-Based NAS for Inference-Optimized LLMs](https://md.research.elamur.ai/free/en/papers/bercovich-2024-puzzle-distillation-based-nas-inference/)** *(2024 · 10 citations)* Serving large language models is costly, and standard transformers stack identical layers that suit training stability rather than cheap inference.

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Akhiad Bercovich](https://md.research.elamur.ai/free/en/authors/akhiad-bercovich/)
- [Amnon Shashua](https://md.research.elamur.ai/free/en/authors/amnon-shashua/)
- [Ido Galil](https://md.research.elamur.ai/free/en/authors/ido-galil/)
- [Inbal Magar](https://md.research.elamur.ai/free/en/authors/inbal-magar/)
- [Kevin Leyton-Brown](https://md.research.elamur.ai/free/en/authors/kevin-leyton-brown/)
- [Mohammad Dabbah](https://md.research.elamur.ai/free/en/authors/mohammad-dabbah/)
- [Nir Ratner](https://md.research.elamur.ai/free/en/authors/nir-ratner/)
- [Omri Abend](https://md.research.elamur.ai/free/en/authors/omri-abend/)
- [Ori Ram](https://md.research.elamur.ai/free/en/authors/ori-ram/)
- [Tomer Ronen](https://md.research.elamur.ai/free/en/authors/tomer-ronen/)
- [Yoav Levine](https://md.research.elamur.ai/free/en/authors/yoav-levine/)
- [Yoav Shoham](https://md.research.elamur.ai/free/en/authors/yoav-shoham/)

## 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/)

## Cited by

Papers of our library cite their works 140 times (of the 149,439 papers whose bibliographies we read); [56 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ehud-karpas/cited-by/).

Updated 3 November 2026
