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Jean De Dieu Nyandwi

Jean De Dieu Nyandwi has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Vision & language; often with Graham Neubig, Simran Khanuja, Yueqi Song.

2 papers in our library · 2024–2025

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

📄 2 works in our library · 🔗 Cited 72 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9498

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

 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 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksMultilingual & cross-lingual NLP · 2 worksVision & language · 2 works

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages (2024 · 46 citations)
    Most multimodal LLMs are trained and tested mainly on English, Western-centric material. As a result, they handle other languages poorly and misread culturally specific images. The authors address this with Pangea-7B, an open multilingual vision-language model, and PangeaIns, a 6M-sample instruction-tuning set…
  2. Grounding Multilingual Multimodal LLMs With Cultural Knowledge (2025 · 11 citations)
    Multimodal LLMs tend to fail on culturally specific, long-tail entities and perform worse in low-resource languages, mainly because their training data is dominated by English and Western content.

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. Pangea: A Fully Open Multilingual Multimodal LLM for 39 LanguagesarXiv:2410.16153Xiang Yue, Yueqi Song, Akari Asai, et al.2024 · 46 citations
  2. NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples ↗neural information processing systems · no summary yetBaiqi Li et al.2024 · 24 citations
  3. Grounding Multilingual Multimodal LLMs With Cultural KnowledgeConference on Empirical Methods in Natural Language Processing (EMNLP)Jean De Dieu Nyandwi, Yueqi Song, Simran Khanuja, et al.2025 · 11 citations

 Co-authors here

9 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 72 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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