activity
20242026
most citedRole-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation

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

collaborators

5 papers

cs.CL2026

A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training

Doria Bonzi, Tom Bourgeade, Fabrice Lefèvre +1

The clinical and communication skills of medical students are commonly assessed through Objective Structured Clinical Examinations (OSCEs), which consist of brief scenario-driven s…

cs.CL2025

Open-Source Large Language Models as Multilingual Crowdworkers: Synthesizing Open-Domain Dialogues in Several Languages With No Examples in Targets and No Machine Translation

Ahmed Njifenjou, Virgile Sucal, Bassam Jabaian +1

The prevailing paradigm in the domain of Open-Domain Dialogue agents predominantly focuses on the English language, encompassing both models and datasets. Furthermore, the financia…

cs.RO2024

FlowAct: A Proactive Multimodal Human-robot Interaction System with Continuous Flow of Perception and Modular Action Sub-systems

Timothée Dhaussy, Bassam Jabaian, Fabrice Lefèvre

The evolution of autonomous systems in the context of human-robot interaction systems necessitates a synergy between the continuous perception of the environment and the potential…

cs.CL2024

Language Portability Strategies for Open-domain Dialogue with Pre-trained Language Models from High to Low Resource Languages

Ahmed Njifenjou, Virgile Sucal, Bassam Jabaian +1

In this paper we propose a study of linguistic portability strategies of large pre-trained language models (PLMs) used for open-domain dialogue systems in a high-resource language…

cs.CL20243 cited

Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation

Ahmed Njifenjou, Virgile Sucal, Bassam Jabaian +1

Recently, various methods have been proposed to create open-domain conversational agents with Large Language Models (LLMs). These models are able to answer user queries, but in a o…