Nearchos Potamitis

PhD Student, Department of Computer Science, Aarhus University

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Department of Computer Science

Aarhus University

Aarhus, Denmark

I am a PhD student at the Department of Computer Science at Aarhus University, advised by Prof. Akhil Arora. My research focuses on efficiency and reliability in LLM reasoning.

Previously, I obtained my M.Sc. in Data Science and B.Sc. in Electrical Engineering from EPFL. During my master’s thesis at DLAB, I introduced Fleet of Agents, a framework utilizing LLMs as agents for coordinated problem solving, receiving a perfect grade of 6/6 (top 1%).

I have also worked as a Schuman Trainee at the AI unit of the European Parliament and as a Data Science Intern at Prediggo SA.

selected publications

  1. ICML
    Fleet of Agents: Coordinated Problem Solving with Large Language Models
    Lars Klein*, Nearchos Potamitis*, Roland Aydin, and 3 more authors
    In International Conference on Machine Learning (ICML), 2025
  2. EMNLP
    CacheSaver: A Modular Framework for Efficient, Affordable, and Reproducible LLM Inference
    Nearchos Potamitis*, Lars Klein*, Bardia Mohammadi, and 5 more authors
    In Findings of the Association for Computational Linguistics: EMNLP, 2025
  3. arxiv
    ReasonBench: Benchmarking the (In)Stability of LLM Reasoning
    Nearchos Potamitis, Lars Klein, and Akhil Arora
    arXiv preprint, 2025