Author

Romain Hennequin

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#natural language process... May 2026

GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study

Dynamic Heterogeneous Character Networks are introduced, which organize long novels into temporally localized heterogeneous graphs that align characters with their textual contexts, and GraphLit is proposed, a self-supervised learning framework that learns rich literary representations through a masked graph autoencode...

Gaspard Michel, Elena V. Epure, Romain Hennequin et al. · arXiv.org · 1 citation

#artificial intelligence Preprint Aug 2026

CoJEPA: Combining Contrastive Learning and JEPA for Global-Local Music Representations

CoJEPA shows that combining objectives with complementary inductive biases can substitute for scale, encouraging future work to invest in smarter training objectives over ever-larger models.

Gabriel Meseguer-Brocal, Yuexuan Kong, Romain Hennequin · 0 citations