About Me

Welcome to my academic page! I am a first-year industrial PhD student at Illuin Technology, working conjointly with CentraleSupélec (MICS Lab) and the University of Grenoble (LIG Lab). I am advised by Céline Hudelot and Maxime Peyrard.

My research focuses on the robustness of multi-agent systems. Specifically, I explore how to evaluate and design agentic systems that are resilient to perturbations such as adversarial attacks, tool errors, or simple mistakes made by individual agents.

News

Research Interests

  • Multi-Agent Systems: Currently working on my thesis, focusing on systemic robustness and agent evaluation.
  • Multi-Modal Retrieval: I have worked extensively on multi-modal retrieval, building the latest iterations of the ViDoRe benchmarks and training efficient visual document retrievers.

Publications

2026
Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models
A Edy, M Conti, Q Macé.
arXiv preprint arXiv:2603.26259, 2026.
ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios
A Loison, Q Macé, A Edy, V Xing, T Balough, G Moreira, B Liu, M Faysse, C Hudelot, G Viaud.
arXiv preprint arXiv:2601.08620, 2026.
2025
ModernVBERT: Towards Smaller Visual Document Retrievers
P Teiletche, Q Macé, M Conti, A Loison, G Viaud, P Colombo, M Faysse.
arXiv preprint arXiv:2510.01149, 2025.
Vidore benchmark v2: Raising the bar for visual retrieval
Q Macé, A Loison, M Faysse.
arXiv preprint arXiv:2505.17166, 2025.

Education

  • Ph.D. in AI, Illuin Technology, CentraleSupélec, & Univ. of Grenoble, 2026 - Present
  • Engineering Degrees (M.Sc. equivalent), CentraleSupélec & ENS, 2020 - 2024