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Saurabh Garg

Saurabh Garg has 2 papers in our library, in 2024, most of them on Language models & pretraining, Vision & language; often with Alex Fang, Etash Guha, Georgios Smyrnis.

2 papers in our library · 2024

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📄 2 works in our library · 🔗 Cited 272 times in our library · ⭐ Paper Stars ranking: #5568

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. DataComp-LM: In search of the next generation of training sets for language models (2024 · 191 citations)
    Pretraining datasets for language models are hard to compare fairly. Published models also differ in architecture, compute and hyperparameters, and the developers of top open-weight models seldom disclose their training data. DCLM (DataComp for Language Models) is a benchmark that fixes the training recipe so that…
  2. Pixtral 12B (2024 · 107 citations)
    The paper presents Pixtral 12B, an open-weight vision-language model from Mistral AI, released under Apache 2.0.

 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 272 times (of the 149,439 papers whose bibliographies we read); 76 citing papers with a page here →.

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