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#artificial intelligence Book Open access Nov 2025

Patent Representation Learning via Self-supervision

Results indicate that patent sections provide effective self-supervised positive views for learning dense patent representations, and section-pair training improves compatibility among abstracts, claims, and descriptions of the same invention.

You Zuo, Kim Gerdes, Éric Villemonte de la Clergerie et al. · 2 citations
#artificial intelligence Preprint Jul 2026

Asymmetric Within-Document Predictive Learning for Scientific Document Representation

This work proposes SciJEPA, a citation-free framework that learns through asymmetric within-document prediction: title and abstract representations are used to predict method representations, and method representations are used to predict conclusion representations.

You Zuo, Éric de la Clergerie, Benoît Sagot · 0 citations

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