output
20072025
most citedFitness landscape of the cellular automata majority problem: View from the Olympus

30 citations

Showing 2025Show all

11 papers · 1 filter

cs.FL2025★ 1 cited

On the Impact of the Communication Model on Realisability

Cinzia Di Giusto, Etienne Lozes, Pascal Urso

Multiparty Session Types (MPST) provide a type-theoretic foundation for specifying and verifying communication protocols in distributed systems. MPST rely on the notion of global t…

cs.CL2025

A systematic review of relation extraction task since the emergence of Transformers

Ringwald Celian, Gandon, Fabien +3

This article presents a systematic review of relation extraction (RE) research since the advent of Transformer-based models. Using an automated framework to collect and annotate pu…

cs.CL2025★ 1 cited

Overcoming the Generalization Limits of SLM Finetuning for Shape-Based Extraction of Datatype and Object Properties

Célian Ringwald, Fabien Gandon, Catherine Faron +2

Small language models (SLMs) have shown promises for relation extraction (RE) when extracting RDF triples guided by SHACL shapes focused on common datatype properties. This paper i…

cs.CL2025★ 2 cited

Kastor: Fine-tuned Small Language Models for Shape-based Active Relation Extraction

Ringwald Celian, Gandon Fabien, Faron Catherine +2

RDF pattern-based extraction is a compelling approach for fine-tuning small language models (SLMs) by focusing a relation extraction task on a specified SHACL shape. This technique…

cs.SI2025★ 1 cited

No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention Capture

Hamza Belgroun, Franck Michel, Fabien Gandon

In our age of digital platforms, human attention has become a scarce and highly valuable resource, rivalrous, tradable, and increasingly subject to market dynamics. This article ex…

cs.AI2025

MetaboT: An LLM-based Multi-Agent Frameworkfor Interactive Analysis of Mass SpectrometryMetabolomics Knowledge Graphs

Madina Bekbergenova, Lucas Pradi, Benjamin Navet +15

Mass spectrometry-based metabolomics generates complex, high-dimensional data that holds vast potential for biological discovery but remains difficult to integrate and interpret. K…