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Soravit Changpinyo

Soravit Changpinyo has 2 papers in our library, in 2022–2023, most of them on Vision & language, Language models & pretraining, Multilingual & cross-lingual NLP; often with Alan Ritter, Alexander Kolesnikov, Basil Mustafa.

2 papers in our library · 2022–2023

OpenAlex · ORCID · h-index 20 · 44 works · 3,890 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2,343 times in our library · ⭐ Paper Stars ranking: #3562

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

🏢GoogleMountain View · United States2018–2024 · 25 paperscurrent🎓University of Southern CaliforniaLos Angeles · United States2013–2020 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workArtificial Intelligence · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Vision & language · 2 worksMultilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20231 paperCan Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?20221 paperPaLI: A Jointly-Scaled Multilingual Language-Image Model

 Papers

The most cited first (OpenAlex and our library).

  1. PaLI: A Jointly-Scaled Multilingual Language-Image Model (2022 · 341 citations)
    PaLI (Pathways Language and Image model), from Google Research, explores how to scale vision-language models so that one network can handle many image, text and multimodal tasks across many languages.
  2. Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? (2023 · 109 citations)
    The paper asks whether current pre-trained vision-language models can handle questions about an image that need specific factual knowledge not visible in the picture, such as when a pictured church was built.

 Co-authors here

10 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 2,343 times (of the 141,840 papers whose bibliographies we read); 178 citing papers with a page here →.

Updated

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