Florian Tambon

23 papers A 2Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bugs in large language models generated code: an empirical study. Empir. Softw. Eng. Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol
2025	J	`jnl`	On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses. CoRR Mohamed Djilani, Thibault Simonetto, Karim Tit, Florian Tambon, Paul Récamier, Salah Ghamizi, Maxime Cordy, Mike Papadakis
2025	—	`conf`	Towards Collecting Real-Time Vigilance Measures for Adaptive Training in Safety-Critical Domains. HCI (81) Alexandre Marois, Andra Mahu, Jonay Ramon Alaman, Florian Tambon, Yann Pequignot, Tanya S. Paul, Benoit Ouellette, Philippe Doyon-Poulin
2024	J	`jnl`	Assessing Programming Task Difficulty for Efficient Evaluation of Large Language Models. CoRR Florian Tambon, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
2024	J	`jnl`	Bug characterization in machine learning-based systems. Empir. Softw. Eng. Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming (Jack) Jiang
2024	J	`jnl`	Bugs in Large Language Models Generated Code: An Empirical Study. CoRR Florian Tambon, Arghavan Moradi Dakhel, Amin Nikanjam, Foutse Khomh, Michel C. Desmarais, Giuliano Antoniol
2024	—	`conf`	Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs. AIware Sylvain Kouemo Ngassom, Arghavan Moradi Dakhel, Florian Tambon, Foutse Khomh
2024	J	`jnl`	Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs. CoRR Sylvain Kouemo Ngassom, Arghavan Moradi Dakhel, Florian Tambon, Foutse Khomh
2024	J	`jnl`	Common challenges of deep reinforcement learning applications development: an empirical study. Empir. Softw. Eng. Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
2024	A	`conf`	Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. SANER Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh
2024	J	`jnl`	Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. CoRR Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh
2024	J	`jnl`	Silent bugs in deep learning frameworks: an empirical study of Keras and TensorFlow. Empir. Softw. Eng. Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol
2023	J	`jnl`	A probabilistic framework for mutation testing in deep neural networks. Inf. Softw. Technol. Florian Tambon, Foutse Khomh, Giuliano Antoniol
2023	J	`jnl`	Bug Characterization in Machine Learning-based Systems. CoRR Mohammad Mehdi Morovati, Amin Nikanjam, Florian Tambon, Foutse Khomh, Zhen Ming Jiang
2023	J	`jnl`	Common Challenges of Deep Reinforcement Learning Applications Development: An Empirical Study. CoRR Mohammad Mehdi Morovati, Florian Tambon, Mina Taraghi, Amin Nikanjam, Foutse Khomh
2023	J	`jnl`	GIST: Generated Inputs Sets Transferability in Deep Learning. CoRR Florian Tambon, Foutse Khomh, Giuliano Antoniol
2023	A	`conf`	Mutation Testing of Deep Reinforcement Learning Based on Real Faults. ICST Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
2023	J	`jnl`	Mutation Testing of Deep Reinforcement Learning Based on Real Faults. CoRR Florian Tambon, Vahid Majdinasab, Amin Nikanjam, Foutse Khomh, Giuliano Antoniol
2022	J	`jnl`	A Probabilistic Framework for Mutation Testing in Deep Neural Networks. CoRR Florian Tambon, Foutse Khomh, Giuliano Antoniol
2022	J	`jnl`	How to certify machine learning based safety-critical systems? A systematic literature review. Autom. Softw. Eng. Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2021	J	`jnl`	HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks. CoRR Florian Tambon, Giulio Antoniol, Foutse Khomh
2021	J	`jnl`	How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review. CoRR Florian Tambon, Gabriel Laberge, Le An, Amin Nikanjam, Paulina Stevia Nouwou Mindom, Yann Pequignot, Foutse Khomh, Giulio Antoniol, Ettore Merlo, François Laviolette
2021	J	`jnl`	Silent Bugs in Deep Learning Frameworks: An Empirical Study of Keras and TensorFlow. CoRR Florian Tambon, Amin Nikanjam, Le An, Foutse Khomh, Giuliano Antoniol