---
title: "Dor Muhlgay — author profile and papers — Elamur Research"
description: "Dor Muhlgay: 3 papers on Elamur Research (2023–2024), h-index 5 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/dor-muhlgay/"
---
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# Dor Muhlgay

Dor Muhlgay has 3 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Amnon Shashua](https://md.research.elamur.ai/free/en/authors/amnon-shashua/), [Kevin Leyton-Brown](https://md.research.elamur.ai/free/en/authors/kevin-leyton-brown/), [Ori Ram](https://md.research.elamur.ai/free/en/authors/ori-ram/).

3 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5087809446) · [**h-index 5**](https://openalex.org/authors/A5087809446) · [9 works](https://openalex.org/works?filter=author.id:A5087809446) · [529 citations](https://openalex.org/works?filter=author.id:A5087809446&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/dor-muhlgay/#papers) · [🔗 Cited 443 times in our library](https://md.research.elamur.ai/free/en/authors/dor-muhlgay/cited-by/) · [⭐ Paper Stars ranking: #2651](https://md.research.elamur.ai/free/en/paper-stars/page/27/#star-2651)

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

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/dor-muhlgay/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/dor-muhlgay/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[In-Context Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/ram-2023-context-retrieval-augmented-language-models/)** *(2023 · 793 citations)* Language models often fabricate facts and do not indicate where they obtained their information. Retrieval-augmented approaches that draw on external documents (RALM) mitigate this problem. However, known solutions such as RETRO modify the model architecture and require additional training, so they are rarely used in…
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 · 81 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…
3. **[Jamba-1.5: Hybrid Transformer-Mamba Models at Scale](https://md.research.elamur.ai/free/en/papers/lenz-2024-jamba-1-5-hybrid-transformer/)** *(2024 · 30 citations)* Long contexts make standard Transformer LLMs costly to serve because the KV cache grows quickly and slows inference.

## Co-authors here

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

- [Amnon Shashua](https://md.research.elamur.ai/free/en/authors/amnon-shashua/) ×2
- [Kevin Leyton-Brown](https://md.research.elamur.ai/free/en/authors/kevin-leyton-brown/) ×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
- [Avshalom Manevich](https://md.research.elamur.ai/free/en/authors/avshalom-manevich/)
- [Dan Padnos](https://md.research.elamur.ai/free/en/authors/dan-padnos/)
- [Inbal Magar](https://md.research.elamur.ai/free/en/authors/inbal-magar/)
- [Itay Dalmedigos](https://md.research.elamur.ai/free/en/authors/itay-dalmedigos/)
- [Nir Ratner](https://md.research.elamur.ai/free/en/authors/nir-ratner/)
- [Omri Abend](https://md.research.elamur.ai/free/en/authors/omri-abend/)
- [Yonatan Belinkov](https://md.research.elamur.ai/free/en/authors/yonatan-belinkov/)

## Venues

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

- [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/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2023](https://md.research.elamur.ai/free/en/venues/tacl/2023/)

## Cited by

Papers of our library cite their works 443 times (of the 149,439 papers whose bibliographies we read); [116 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dor-muhlgay/cited-by/).

Updated 30 October 2026
