Meta Platforms, Inc.

Marjan Ghazvini Nejad

Armen Aghajanyan

Luke Zettlemoyer

Gargi Ghosh

Michael William Lewis

Sida Wang

In one embodiment, a method includes accessing a first document, accessing a plurality of second documents, calculating a relevance score for each of the plurality of second documents indicating a degree of relevance of the second document to the first document using an encoder of a machine-learning model, selecting a subset of the second documents based on their corresponding relevance scores, generating a target document by using the machine-learning model to process the subset of second documents and their corresponding relevance scores, and updating parameters of the machine-learning model based on a comparison between the first document and the generated target document.

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Seattle, WA, United States of America

Marjan Ghazvini Nejad