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Michiel de Jong

Michiel de Jong has 2 papers in our library, in 2023; often with James Lee-Thorp, Joshua Ainslie, Sumit Sanghai.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 9 · 48 works · 641 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 636 citations in our library · ⭐ Paper Star rank #2073

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 States2021–2024 · 11 papers🎓University of Southern CaliforniaLos Angeles · United States2018–2023 · 10 papers🎓Carnegie Mellon UniversityPittsburgh · United States2018–2021 · 3 papers🔬Netherlands Defence AcademyBreda · Netherlands2015–2021 · 3 papers🎓Windesheim University of Applied SciencesZwolle · Netherlands2019–2021 · 3 papers🎓University of TwenteEnschede · Netherlands2018–2019 · 2 papers🏥Atrium Medisch Centrum ParkstadHeerlen · Netherlands2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

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

💡 Concepts 1 Transformer and attention · 1 work

📚 Shelves 5 Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Computer Vision and Pattern Recognition · 2 works Language and Linguistics · 2 works

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints (2023 · 1,012 citations)
    During autoregressive decoding, a Transformer model loads the attention keys and values from memory at every step.
  2. CoLT5: Faster Long-Range Transformers with Conditional Computation (2023 · 83 citations)
    Encoding long documents with Transformers is costly. Sparse attention reduces the quadratic attention cost, but the feedforward and projection layers still run on every token and dominate compute in larger models. CoLT5 (Conditional LongT5), from Google Research, extends LongT5 with conditional computation. Each…

 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 636 times (of the 141,840 papers whose bibliographies we read); 44 citing papers with a page here →.

Updated

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