Armel Randy Zebaze
Hey, I'm Armel
I'm a final-year PhD student at Inria Paris in the ALMAnaCH team, working under the supervision of Rachel Bawden and Benoît Sagot on Machine Translation. My research focuses on improving the ability of LLMs to translate into low-resource languages.
I hold an Engineer's degree from Ecole Polytechnique and a M.S. degree from ENS Paris-Saclay (MVA).
When not doing research, I sleep.
Recent Articles
Disentangling Meaning from Language in LLM-based Machine Translation
Théo Lasnier, AR Zebaze, Djamé Seddah, Rachel Bawden, Benoît Sagot (2026)
LLM Reasoning for Machine Translation: Synthetic Data Generation over Thinking Tokens
AR Zebaze, Rachel Bawden, Benoît Sagot (2025)
TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation
AR Zebaze, Benoît Sagot, Rachel Bawden (2025)
Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation
AR Zebaze, Benoît Sagot, Rachel Bawden (2025)
Tree of Problems: Improving structured problem solving with compositionality
AR Zebaze, Benoît Sagot, Rachel Bawden (2024)
Resume
PhD Student
Nov 2023 - PresentWorking on Machine Translation for low-resource languages.
PhD Student
Nov 2023 - PresentWorking on Machine Translation for low-resource languages.
Research Assistant
Apr 2022 - Aug 2022Worked on active learning for financial crime detection.
Research Assistant
Apr 2022 - Aug 2022Worked on active learning for financial crime detection.
Cycle ingénieur
Sep 2019 - Sep 2022Relevant Coursework: Database Management Systems, Data Analysis and Unsupervised Learning, Machine Learning and Deep Learning, Statistical Learning, Text Mining and NLP, Advanced Machine Learning and Autonomous Agents, Data Structures & Algorithms.
Cycle ingénieur
Sep 2019 - Sep 2022Relevant Coursework: Database Management Systems, Data Analysis and Unsupervised Learning, Machine Learning and Deep Learning, Statistical Learning, Text Mining and NLP, Advanced Machine Learning and Autonomous Agents, Data Structures & Algorithms.