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cs.CL2026

Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models

Tian Fang, Gaël Guibon, Davide Buscaldi

Emotion is expressed in text along a wide spectrum, from surface lexical cues to inferences entangled with content. Most layer-wise analyses of emotion in LLMs use a single corpus,…

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.CL2025

QUARTZ : QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization

Mohamed Imed Eddine Ghebriout, Gaël Guibon, Ivan Lerner +1

Dialogue summarization aims to distill the core meaning of a conversation into a concise text. This is crucial for reducing the complexity and noise inherent in dialogue-heavy appl…

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…

cs.CL2021

Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks

Gaël Guibon, Matthieu Labeau, Hélène Flamein +2

Several recent studies on dyadic human-human interactions have been done on conversations without specific business objectives. However, many companies might benefit from studies d…