
Celian Ringwald
@ringwald_c
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Datartisan working with knowledge, graphs and texts - Phd Student at INRIA, 3IA, CNRS, I3S, UCA
Joined March 2015
RT @wimmics: LLM & Linked Data by Fabien Gandon, Inria @W3C AC 2025 member meeting. He highlighted how Linked Data standards enable knowled….
www.youtube.com
by Fabien Gandon, InriaAt the W3C AC 2025 member meeting, Fabien highlighted how W3C Linked Data standards (such as RDF, SHACL, and SPARQL) enable knowledge ...
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RT @dersuchende_: #ESWC2025 kicks off! Join us in the next days for two sessions on LLM-driven ontology generation:. 🔹 ELMKE workshop: Asse….
arxiv.org
The ontology engineering process is complex, time-consuming, and error-prone, even for experienced ontology engineers. In this work, we investigate the potential of Large Language Models (LLMs) to...
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RT @Dorialexander: Ever more confirmation language models are behaving as latent knowledge graphs.
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Just received my #LookingForAPostDoc tshirt :) See you soon for talking about shapes, rdf based relation extraction and Kastor (beavers) in a wood of knowledge.
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RT @karpathy: When working with LLMs I am used to starting "New Conversation" for each request. But there is also the polar opposite appro….
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Still a source of inspiration :).
An introductory talk by Christopher Manning @chrmanning on “Large Language Models in 2025 – How much understanding and intelligence?” at the Workshop on a Public AI Assistant to Worldwide Knowledge at @Stanford, covering 3 eras of LLMs, RAG, Agents, DeepSeek-R1, using LLMs, ….
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RT @stanfordnlp: An introductory talk by Christopher Manning @chrmanning on “Large Language Models in 2025 – How much understanding and int….
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RT @fabien_gandon: 📢 5 Associate Professor positions @Laboratoire_I3S @Univ_CotedAzur The recruitment campaign will start the 4th March 2….
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RT @inria_sophia: 🎓#PhD👏 Félicitations à Benjamin MOLINET 👨🎓 doctorant @Univ_CotedAzur au sein de l'équipe Wimmics @inria_sophia pour son….
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RT @goblin_cost: First day of the plenary meeting of the GOBLIN COST Action! Great Knowledge Graph Science team in Action! #goblincost #Kno….
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RT @inria_sophia: [#Média] 📰 sur un entretien avec @fabien_gandon @Inria et @franck_michel2 @CNRS qui ont écrit "P….
www.creativeprocess.info
AI competes for our attention because our attention has been commodified. As our entire lives revolve more and more around the attention economy, what can we do to restore our autonomy, reclaim our...
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RT @fabien_gandon: 📃 Prêtez Attention : quand « prêter » est « données » (épisode 1), un billet sur le blog Binaire de Le Monde.🔗 https://t….
www.lemonde.fr
A l'heure où Elon Musk fait un peu n'importe quoi au nom de la liberté d'expression, quand des grands patrons du numérique lui emboîtent le pas sans doute pour pousser leurs intérêts économiques, il...
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RT @fabien_gandon: 📢 Programme IA @Inria recrute dans le Projet P16 un Ingénieur développeur Senior Java pour la bibliothèque Corese (linke….
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RT @s_papastamkou: Wikipédia comme source de connaissance historique : appliquer la critique des sources numériques .
ranke2.uni.lu
Une leçon sur Wikipédia en tant que source historique nativement numérique et sur la manière d’y appliquer la critique des sources numériques.
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RT @piermonn: 📢 Internship offer: interested in combining #semanticWeb #knowledgeGraphs and #LLMs? . We have a 6-month internship on Semant….
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RT @Tsaag: Ce n'était pas prévu, mais ce soir, je débunke cet article malhonnête et erroné d'Erwan Seznec, paru dans Le Point (pas de lien….
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RT @probabl_ai: New podcast episode! This one is about imbalanced-learn and how the maintainer looks back with some lessons learned. If y….
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