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

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

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…

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.CL20251 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.CL20252 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

Pay Attention: a Call to Regulate the Attention Market and Prevent Algorithmic Emotional Governance

Franck Michel, Fabien Gandon

Over the last 70 years, we, humans, have created an economic market where attention is being captured and turned into money thanks to advertising. During the last two decades, leve…