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Inbal Magar

Inbal Magar has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks; often with Amnon Shashua, Kevin Leyton-Brown, Nir Ratner.

2 papers in our library · 2023–2024

OpenAlex · h-index 5 · 10 works · 175 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 140 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #4752

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

🎓Hebrew University of JerusalemJerusalem · Israel2022–2024 · 2 paperscurrent

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

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6 Artificial Intelligence · 2 works Arts and Humanities · 2 works Computer Science · 2 works Language and Linguistics · 2 works Social Sciences · 1 work Sociology and Political Science · 1 work

🧭 Topics 2 Language models & pretraining · 2 works Evaluation & benchmarks · 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. Generating Benchmarks for Factuality Evaluation of Language Models (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…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Parallel Context Windows for Large Language ModelsNir Ratner, Yoav Levine, Yonatan Belinkov, et al.Annual Meeting of the Association for… · 102 citations
  2. Generating Benchmarks for Factuality Evaluation of Language ModelsDor Muhlgay, Ori Ram, Inbal Magar, et al.Conference of the European Chapter of the… · 79 citations
  3. Jamba-1.5: Hybrid Transformer-Mamba Models at Scale (original ↗)Jamba Team: Barak Lenz et al.2024 · arXiv:2408.12570 · 30 citations · no summary yet

 Co-authors here

8 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 141,840 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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