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Sathyanarayanan Ramamoorthy

Sathyanarayanan Ramamoorthy has 2 papers in our library, in 2024–2026, most of them on Multilingual & cross-lingual NLP, Vision & language, Named entity recognition; often with Graham Neubig, Simran Khanuja, Akari Asai.

2 papers in our library · 2024–2026

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

📄 2 works in our library · 🔗 Cited 65 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9771

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

🎓Carnegie Mellon UniversityPittsburgh · United States2025–2026 · 3 paperscurrent🎓Indian Institute of Information Technology Sri CitySri City Pvt Ltd-SEZ · India2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 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 4Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 worksVision & language · 2 worksLanguage models & pretraining · 1 workNamed entity recognition · 1 work

 Works by year

2020s

20261 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. MERLIN: A Testbed for Multilingual Multimodal Entity Recognition and Linking (2026 · 2 citations)
    Entity linking maps an ambiguous mention to its referent in a knowledge base. It becomes difficult when the surrounding text is short, as in news headlines. Until now, multilingual linking research has used text alone. This paper asks whether accompanying images can resolve such ambiguity across languages. The…

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. An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetSimran Khanuja et al.2024 · 28 citations
  3. MERLIN: A Testbed for Multilingual Multimodal Entity Recognition and LinkingTransactions of the Association for Computational Linguistics (TACL)Sathyanarayanan Ramamoorthy, Vishwa Shah, Simran Khanuja, et al.2026 · 2 citations

 Co-authors here

11 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 65 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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