Celian Ringwald @ringwald_c
Datartisan working with knowledge, graphs and texts - Phd Student at INRIA, 3IA, CNRS, I3S, UCA datalogism.github.io @[email protected] Joined March 2015-
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Really sad to see the PaperWithCode shutting down too, for the moment huggingface.co/papers/trending do not entirely do the same job...
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Celian Ringwald retweeted
LLM & Linked Data by Fabien Gandon, Inria @w3c AC 2025 member meeting. He highlighted how Linked Data standards enable knowledge extraction, sharing, and machine learning across domains like robotics, culture, medicine, and chemistry. youtu.be/CVFhPYTVBlI?si…
Celian Ringwald retweeted
#ESWC2025 kicks off! Join us in the next days for two sessions on LLM-driven ontology generation: 🔹 ELMKE workshop: Assessing LLMs to generate domain ontologies arxiv.org/abs/2504.17402 🔹 Research track: Ontology generation with LLMs arxiv.org/abs/2503.05388 @eswc_conf
Celian Ringwald retweeted
Ever more confirmation language models are behaving as latent knowledge graphs.
Ever more confirmation language models are behaving as latent knowledge graphs. https://t.co/rdM2L4vLLa
I am looking forward #ESWC2025 in Portorož next week ! The occasion to present our last work: Kastor - 🦫 A framework that includes Human-in-the-loop and combines #KG and #SLMs to produce #RDF and shape-based relation extractors. > Author version: hal.science/hal-05078493v1
Just received my #LookingForAPostDoc tshirt :) See you soon for talking about shapes, rdf based relation extraction and Kastor (beavers) in a wood of knowledge.
Celian Ringwald retweeted
When working with LLMs I am used to starting "New Conversation" for each request. But there is also the polar opposite approach of keeping one giant conversation going forever. The standard approach can still choose to use a Memory tool to write things down in between…
Celian Ringwald retweeted
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, ….
Celian Ringwald retweeted
📢 5 Associate Professor positions @Laboratoire_I3S @Univ_CotedAzur The recruitment campaign will start the 4th March 2025. One position is on "Artificial Intelligence methods for the life cycle of a knowledge graphs" 👉 i3s.unice.fr/actualite/2025… #Jobs #Emploi
Celian Ringwald retweeted
🎓#PhD👏 Félicitations à Benjamin MOLINET 👨🎓 doctorant @Univ_CotedAzur au sein de l'équipe Wimmics @inria_sophia pour son travail de thèse et sa soutenance ! 📚#Medical En savoir ➕ sur lui➡️bit.ly/3BCRqTA ➡️ team.inria.fr/wimmics/
Celian Ringwald retweeted
This feels true... (by Instagram user @beckybarnicomics)
Celian Ringwald retweeted
First day of the plenary meeting of the GOBLIN COST Action! Great Knowledge Graph Science team in Action! #goblincost #KnowledgeGraphs
Celian Ringwald retweeted
[#Média] 📰 sur creativeprocess.info un entretien avec @fabien_gandon @Inria et @franck_michel2 @CNRS qui ont écrit "PAY ATTENTION" 📔 un appel à réguler le marché de l'attention. Les plateformes numériques affectent nos émotions et notre bien être. creativeprocess.info/interviews22/p…
Celian Ringwald retweeted
📃 Prêtez Attention : quand « prêter » est « données » (épisode 1), un billet sur le blog Binaire de Le Monde 🔗 lemonde.fr/blog/binaire/2… 🔑 #attention #IA #Web 📢 @Blog_Binaire @lemondefr @SocInfoFr @Inria @Univ_CotedAzur @CNRS_DR20 @Laboratoire_I3S @Cluster_IA @franck_michel2
Celian Ringwald retweeted
Celian Ringwald retweeted
Wikipédia comme source de connaissance historique : appliquer la critique des sources numériques ranke2.uni.lu/fr/u/wikipedia… - la traduction en français de la leçon de @PetrosAposto sur Ranke.2 est maintenant en ligne!
Wikipédia comme source de connaissance historique : appliquer la critique des sources numériques ranke2.uni.lu/fr/u/wikipedia… - la traduction en français de la leçon de @PetrosAposto sur Ranke.2 est maintenant en ligne!
Celian Ringwald retweeted
📢 Internship offer: interested in combining #semanticWeb #knowledgeGraphs and #LLMs? We have a 6-month internship on Semantic Web Retrieval Augmented Generation @wimmics ! Details and application: recrutement.inria.fr/public/classic… #artificialIntelligence #largeLanguageModels
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