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Hai Pham

Hai Pham has 2 papers in our library, in 2024, most of them on Language models & pretraining, Vision & language; often with Donovan Ong, Eugenie Lamprecht, Kaloyan Aleksiev.

2 papers in our library · 2024

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 58 times in our library · ⭐ Paper Stars ranking: #7531

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 2Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 works

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models (2024 · 42 citations)
    The Reka Team presents three multimodal language models trained from scratch: Edge (7B, dense), Flash (21B, dense) and Core, the largest, whose training was still ongoing when the report was written.
  2. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models (2024 · 19 citations)
    Static multimodal benchmarks are quickly saturated by frontier models, and public arenas such as LMSys and WildVision make it hard to control prompt quality and difficulty.

 Co-authors here

8 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 58 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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