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Jacob Kahn

Jacob Kahn has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Information retrieval & search, Vision & language; often with Luke Zettlemoyer, Arun Babu, Chunting Zhou.

2 papers in our library · 2023–2024

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📄 2 works in our library · 🔗 Cited 213 times in our library · ⭐ Paper Stars ranking: #6134

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 6The 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 worksInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Vision & language · 1 workInformation retrieval & search · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. RA-DIT: Retrieval-Augmented Dual Instruction Tuning (2023 · 149 citations)
    Large language models store knowledge only in their weights, so they handle rare facts poorly and are costly to update.
  2. Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model (2024 · 83 citations)
    Generative models usually handle text with next-token prediction and images with diffusion. Combining the two typically means either attaching a separate diffusion model to a language model or quantizing images into discrete tokens, which loses information. Transfusion trains a single transformer on mixed text–image…

 Co-authors here

12 of 18 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 213 times (of the 149,439 papers whose bibliographies we read); 49 citing papers with a page here →.

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