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Celian Ringwald Profile
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
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@ringwald_c
Celian Ringwald
6 days
We're happy to share our latest research accepted at #KCAP2025: “Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties” 📄 https://t.co/e8czkDEVmr 👨‍💻 https://t.co/yMyzlJCVJh
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@ringwald_c
Celian Ringwald
2 months
London is awesome 🤩 #KCL #ResearchVisit
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@ringwald_c
Celian Ringwald
2 months
-Echos from the room of text, triples & constraints- Really excited to visit the KCL Knowledge Graphs Lab over the next two weeks! A stay that sounds like a hyperbolic time chamber, to discuss and join forces on LLM/Constraints RQs, before writing the last pages of my PhD
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@ringwald_c
Celian Ringwald
3 months
Really sad to see the PaperWithCode shutting down too, for the moment https://t.co/YquDVIg9rR do not entirely do the same job...
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huggingface.co
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@wimmics
Wimmics Team
5 months
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.
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@dersuchende_
Anna Sofia Lippolis
6 months
#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 https://t.co/Rx5LxfUQaC 🔹 Research track: Ontology generation with LLMs https://t.co/JYAYNvGoBo @eswc_conf
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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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@Dorialexander
Alexander Doria
6 months
Ever more confirmation language models are behaving as latent knowledge graphs.
@AnthropicAI
Anthropic
6 months
Our interpretability team recently released research that traced the thoughts of a large language model. Now we’re open-sourcing the method. Researchers can generate “attribution graphs” like those in our study, and explore them interactively.
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@ringwald_c
Celian Ringwald
6 months
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: https://t.co/B2QUZfTsYk
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@ringwald_c
Celian Ringwald
6 months
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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@karpathy
Andrej Karpathy
8 months
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
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@ringwald_c
Celian Ringwald
8 months
the video is here
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@ringwald_c
Celian Ringwald
8 months
Still a source of inspiration :)
@stanfordnlp
Stanford NLP Group
8 months
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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@stanfordnlp
Stanford NLP Group
8 months
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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@fabien_gandon
Fabien Gandon
9 months
📢 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" 👉 https://t.co/p4aL7DUmUh #Jobs #Emploi
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@inria_sophia
Centre Inria d'Université Côte d'Azur
9 months
🎓#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➡️ https://t.co/roZtK5AxTz ➡️ https://t.co/9omzI0H8El
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@infobeautiful
Information is Beautiful
9 months
This feels true... (by Instagram user @beckybarnicomics)
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@goblin_cost
GOBLIN COST Action
9 months
First day of the plenary meeting of the GOBLIN COST Action! Great Knowledge Graph Science team in Action! #goblincost #KnowledgeGraphs
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@inria_sophia
Centre Inria d'Université Côte d'Azur
9 months
[#Média] 📰 sur https://t.co/MTCRJ9XYCF 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
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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@fabien_gandon
Fabien Gandon
10 months
📢 Programme IA @Inria recrute dans le Projet P16 un Ingénieur développeur Senior Java pour la bibliothèque Corese (linked data, knowledge graphs, web sémantique) 👥 Candidatez ici : https://t.co/YIuUsph7fX 🔑 #RDF #RDFS #OWL #SHACL #SPARQL #Jobs.inria.fr #Emploi #Job
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