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Ehud Karpas

Ehud Karpas has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Efficient models & compression; often with Akhiad Bercovich, Amnon Shashua, Ido Galil.

2 papers in our library · 2023–2024

OpenAlex · h-index 2 · 6 works · 96 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 140 times in our library · ⭐ Paper Stars ranking: #8126

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢NvidiaReading · United Kingdom2025 · 1 papercurrent🏢NvidiaSanta Clara · United States2025 · 1 papercurrent

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Parallel Context Windows for Large Language Models (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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