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Jordi Grau-Moya

Jordi Grau-Moya has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining, Efficient models & compression; often with Anian Ruoss, Elliot Catt, Gregoire Deletang.

2 papers in our library · 2022–2023

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📄 2 works in our library · 🔗 126 citations in our library · ⭐ Paper Star rank #3963

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

 Topics

 Language models & pretraining (1) Efficient models & compression (1)

 Works by year

2020s

20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Language Modeling Is Compression (2023 · 89 citations)
    The paper revisits the old equivalence between prediction and lossless compression and uses it to evaluate large pretrained models.
  2. Neural Networks and the Chomsky Hierarchy (2022 · 66 citations)
    The authors investigate whether the theory of computation, specifically the Chomsky hierarchy, can predict where the ability of neural networks to generalize out of distribution ends.

 Co-authors here

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

 Cited by

Papers of our library cite their works 126 times (of the 140,884 papers whose bibliographies we read); 11 citing papers with a page here →.

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