Do, Virginie

The Llama 3 Herd of Models

Grattafiori, A., Dubey, A., Jauhri, A., Pandey, A., Kadian, A., Al-Dahle, A., Letman, A., Mathur, A., Schelten, A., Vaughan, A., et al. (2024) · arXiv

Fault Detection and Control SystemsAnomaly Detection Techniques and Applications

Cited by 505

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

Kayser, M., Camburu, O.-M., Salewski, L., Emde, C., Do, V., Akata, Z., & Lukasiewicz, T. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 68

Fairness and explainability in automatic decision-making systems. A challenge for computer science and law

Kirat, T., Tambou, O., Do, V., & Tsoukiàs, A. (2023) · EURO Journal on Decision Processes

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 43

Robust LLM safeguarding via refusal feature adversarial training

Yu, L., Do, V., Hambardzumyan, K., & Cancedda, N. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 3

Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments

Froger, R., Andrews, P., Bettini, M., Budhiraja, A., Cabral, R. S., Do, V., Garreau, E., Gaya, J.-B., Laurençon, H., Lecanu, M., et al. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0