3 papers
cs.CL2026
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…
cs.AI2025
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…
cs.CL2024
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation
Barbara Gendron, Gaël Guibon
The advent of deep learning models has made a considerable contribution to the achievement of Emotion Recognition in Conversation (ERC). However, this task still remains an importa…