Ilias Stogiannidis | The University of Edinburgh

About Me

My name is Ilias (pronounced “ee-lee-ahs” or “ee-ly-ahs”), and I’m a PhD student at The University of Edinburgh. I’m part of the Vios Science Lab under the guidance of Prof. Sotos Tsaftaris and Dr. Steven McDonagh.

My research interests lie in spatial and temporal reasoning in Foundational Models. I’m also interested in multimodal learning and efficient models. Additionally, I’m fascinated by the intersection of Computer Vision and Natural Language Processing and Robotics.

Before embarking on my PhD, I completed my MSc in Computer Science at Athens University of Economics and Business (AUEB). I was supervised by Prof. Ion Androutsopoulos. Furthermore, I had the opportunity to work as an Applied Machine Learning Researcher at helvia.ai, specializing in Natural Language Processing and Large Language Models.

I’m also an active member of the NLP Group at AUEB, where we conduct research in NLP and Machine Learning.

Feel free to reach out to me if you are interested in collaborating or if you have any questions about my research! Currently, the time for me is:

Research Interests

I am particularly interested in the following topics:

Computer Vision: Visual & Spatio-Semantic Reasoning, Multimodal Learning, Foundation Models, Generative Adversarial Networks
Deep Learning: Efficient Architectures, Graph Neural Networks, Meta-Learning, Self-Supervised Learning
Natural Language Processing: Large Language Models, Reasoning
Reinforcement (Robot) Learning: Multi-agent Systems, Socratic Learning, Human-Robot Interaction, Robot Navigation

News

[Dec. 2024] On the 20th, I’ll be visiting AUEB to give a talk about pursuing a PhD abroad.
[Aug. 2024] I have parted ways with helvia.ai and I am now a PhD Student at The University of Edinburgh.
[Dec. 2023] My thesis is now available in the NLP Group’s website.
[Nov. 2023] Our paper has been selected for poster presentation at EMNLP 2023. See you in Singapore!
[Oct. 2023] My thesis in under the final review and will be available soon in the NLP Group’s website.
[Oct. 2023] Our paper about LLM caching is accepted to the Findings of EMNLP 2023.

Publications

EMNLP2023

Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models

Ilias Stogiannidis, Stavros Vassos, Prodromos Malakasiotis, Ion Androutsopoulos

In Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.

PDF Code Project Page BibTex Poster Presentation

ICAIF2023

Making LLMs Worth Every Penny: Resource-Limited Text Classification in Finance

Lefteris Loukas, Ilias Stogiannidis, Odysseas Diamantopoulos-Pantaleon, Stavros Vassos, Prodromos Malakasiotis

In Proceedings of the 4th ACM International Conference on AI in Finance (ICAIF),New York, NY, USA, 2023.

PDF Project Page BibTex Oral Pressentation

FINNLP2023

Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance

Lefteris Loukas, Ilias Stogiannidis, Stavros Vassos, Prodromos Malakasiotis

In Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting of the International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, 2023.

PDF BibTex Oral Pressentation

–>