5 papers
AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation
Henri Savigny, Bruno Yun
Argument mining is a subfield of argumentation that aims to automatically extract argumentative structures and their relations from natural language texts. This paper investigates…
SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2
Yasmine Bouamra, Bruno Yun, Alexandre Poisson +1
The automatic generation of SysML v2 models represents a major challenge in the engineering of complex systems, particularly due to the scarcity of learning corpora and complex syn…
VIRAL: Vision-grounded Integration for Reward design And Learning
Valentin Cuzin-Rambaud, Emilien Komlenovic, Alexandre Faure +1
The alignment between humans and machines is a critical challenge in artificial intelligence today. Reinforcement learning, which aims to maximize a reward function, is particularl…
Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
Maya Medjad, Hugo Imbert, Bruno Yun +2
Training task-oriented dialogue systems is both costly and time-consuming, due to the need for high-quality datasets encompassing diverse intents. Traditional methods depend on ext…
Assisted Debate Builder with Large Language Models
Elliot Faugier, Frédéric Armetta, Angela Bonifati +1
We introduce ADBL2, an assisted debate builder tool. It is based on the capability of large language models to generalise and perform relation-based argument mining in a wide-varie…