Jean Barré

@jbarre.bsky.social

PhDone ! in Computational Literary Studies at LaTTiCe lab & École normale supérieure in Paris. I study French genre fiction (1860–1945) using quantitative and network-based approaches. https://jeanbarre.eu/

Models like Talkie-1930 sound like voices from the past. If they could reliably speak from specified historical vantage points, researchers might also use them to simulate the past. But how reliable are they? Today we release a benchmark answering that question for English contexts 1831-1930.

Free-text evaluation of answers to character modeling and constrained generation questions. This is just one of several scores Chronologic-EN can produce; we focus on it here because it's both the hardest test and the one most relevant to simulation of the past. Frontier models reach 72%; Talkie-1930 is stronger than several larger competitors, but not at the frontier by this measure. Note that this score has improved ~45% in the last two years, but still falls perceptibly short of ground truth.

Freshly out in @pnasnexus.org: "On the transmission of texts: Written cultures as complex systems" The first major publication of project @lostma.bsky.social , where we lay down our methodology for studying the transmission, evolution or disparition of texts. /1 #science 🧪

On the transmission of texts: Written cultures as complex systems

Abstract. Knowledge of past cultures relies heavily on surviving written material. Over the centuries, texts were copied, altered, and often lost, leaving

academic.oup.com

Small new paper ! 🎉 Genre is a problematic notion in CLS: bibliographically unstable, heterogeneously annotated, yet central to many experiments Our new #NLP4DH paper (ACL 2026) proposes a method to retrieve genre tags automatically in a huge novel archive, from a small seed list only.

Network visualization of a k-nearest-neighbors graph over 10,998 French novels from Gallica. Each node is a novel, connected to its most similar neighbors by cosine similarity of text embeddings. Orange nodes are predicted adventure novels, green nodes are randomly sampled non-adventure novels.

Je soutiens mon Doctorat le 5 juin à l'ENS à 14h, salle des Résistants (45 rue d'Ulm) : « Modéliser la littérature de genre. Méthodes computationnelles et évolution des genres dans la fiction de langue française » une aventure qui se termine ! 🎉

Page de couverture de la thèse de doctorat de Jean Barré (PSL / ENS, laboratoire Lattice), intitulée « Modéliser la littérature de genre : Méthodes computationnelles et évolution des genres dans la fiction de langue française ». Soutenance prévue le 5 juin 2026. Jury : Marie-Ève Thérenty (Présidente, Montpellier III), Evelyn Gius (Rapporteure, TU Darmstadt), Matthieu Letourneux (Rapporteur, Paris-Nanterre), Claire Barel-Moisan (Examinatrice, ENS Lyon / CNRS), Ted Underwood (Examinateur, Illinois Urbana-Champaign), Thomas Conrad (Co-encadrant, ENS-PSL), Thierry Poibeau (Directeur, ENS-PSL / CNRS).

I'm on a 38(!)-author paper just published in Frontiers in Artificial Intelligence, "Computational hermeneutics: evaluating generative AI as a cultural technology". We splice Schleiermacher and hermeneutic theory into AI debates, arguing AI are "context machines". www.frontiersin.org/journals/art...

Frontiers | Computational hermeneutics: evaluating generative AI as a cultural technology

Generative AI (GenAI) systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be...

frontiersin.org

What is the relationship between memorization and generalization in AI? Is there a fundamental tradeoff? In infinitefaculty.substack.com/p/memorizati... I’ve reviewed some of the evolving perspectives on memorization & generalization in machine learning, from classic perspectives through LLMs.

Memorization vs. generalization in deep learning: implicit biases, benign overfitting, and more

Or: how I learned to stop worrying and love the memorization

infinitefaculty.substack.com