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Ines Chami

Ines Chami has 2 papers in our library, in 2020–2022, most of them on Language models & pretraining, Knowledge graphs & ontologies; often with Christopher Ré, Frederic Sala, Avanika Narayan.

2 papers in our library · 2020–2022

OpenAlex · h-index 8 · 12 works · 1,209 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 199 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #3899

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

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 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Knowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Knowledge graph · 1 work

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Low-Dimensional Hyperbolic Knowledge Graph Embeddings (2020 · 429 citations)
    Knowledge graphs (KGs) are typically incomplete, so missing links are often predicted with entity and relation embeddings.
  2. Ask Me Anything: A simple strategy for prompting language models (2022 · 154 citations)
    Prompting large language models is fragile: minor wording changes can shift accuracy a lot, so practitioners often spend significant effort hand-tuning a single prompt per task.

All works

4 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. Hyperbolic Graph Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetInes Chami et al.2019 · 291 citations
  2. Ask Me Anything: A simple strategy for prompting language modelsarXiv:2210.02441Simran Arora, Avanika Narayan, Mayee F. Chen, et al.2022 · 154 citations
  3. Referring Relationships ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRanjay Krishna et al.2018 · 109 citations

 Co-authors here

7 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 199 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ines-chami/