1 citations · 2 across the 4 of their papers we have counts for
4 papers
Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation
Barbara Gendron, Gaël Guibon, Mathieu d'Aquin
Conversational agents based on Large Language Models (LLMs) have recently emerged as powerful tools for human-computer interaction. Nevertheless, their black-box nature implies cha…
Towards Ontology-Based Descriptions of Conversations with Qualitatively-Defined Concepts
Barbara Gendron, Gaël Guibon, Mathieu D'aquin
The controllability of Large Language Models (LLMs) when used as conversational agents is a key challenge, particularly to ensure predictable and user-personalized responses. This…
Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivity
L. Klochko, M. d'Aquin, A. Togo +1
Machine learning promises to accelerate the material discovery by enabling high-throughput prediction of desirable macro-properties from atomic-level descriptors or structures. How…
Ontological Relations from Word Embeddings
Mathieu d'Aquin, Emmanuel Nauer
It has been reliably shown that the similarity of word embeddings obtained from popular neural models such as BERT approximates effectively a form of semantic similarity of the mea…