Scholar
Ilias Stogiannidis
Google Scholar ID: h9Pxv-kAAAAJ
PhD Student @ University of Edinburgh
Citations & Impact
Citations
147
H-index
4
i10-index
4
Publications
8
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- 2023 EMNLP conference paper: 'Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models'; 2023 ICAIF conference paper: 'Making LLMs Worth Every Penny: Resource-Limited Text Classification in Finance'; 2023 FINNLP conference paper: 'Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance'.
Research Experience
- Worked as an Applied Machine Learning Researcher at helvia.ai, specializing in Natural Language Processing and Large Language Models; active member of the NLP Group at AUEB, conducting research in NLP and Machine Learning.
Education
- PhD student at The University of Edinburgh, supervised by Prof. Sotos Tsaftaris and Dr. Steven McDonagh; MSc in Computer Science from Athens University of Economics and Business (AUEB), supervised by Prof. Ion Androutsopoulos.
Background
- Research interests lie in spatial and temporal reasoning, foundational models, multimodal learning, and efficient models. Fascinated by the intersection of Computer Vision, Natural Language Processing, and Robotics.
Miscellany
- Personal interests include exploring technologies across different domains such as Computer Vision, Natural Language Processing, and Robotics.
