activity
20202026
most citedUtilizing ChatGPT to Enhance Clinical Trial Enrollment

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

SeLMRoute: Probabilistic Semantic Evidence for Large Language Model Routing

Vasilis Perifanis, Nikolaos Pavlidis, Symeon Symeonidis

Large language model (LLM) routing aims to select the most suitable model for each incoming query. Most existing routers learn this decision directly from query embeddings, model r…

cs.AI2025

Large Language Models as Universal Predictors? An Empirical Study on Small Tabular Datasets

Nikolaos Pavlidis, Vasilis Perifanis, Symeon Symeonidis +1

Large Language Models (LLMs), originally developed for natural language processing (NLP), have demonstrated the potential to generalize across modalities and domains. With their in…

cs.IR2024

ASPIRE: Assistive System for Performance Evaluation in IR

Georgios Peikos, Wojciech Kusa, Symeon Symeonidis

Information Retrieval (IR) evaluation involves far more complexity than merely presenting performance measures in a table. Researchers often need to compare multiple models across…

cs.IR2023★ 4 cited

Utilizing ChatGPT to Enhance Clinical Trial Enrollment

Georgios Peikos, Symeon Symeonidis, Pranav Kasela +1

Clinical trials are a critical component of evaluating the effectiveness of new medical interventions and driving advancements in medical research. Therefore, timely enrollment of…

cs.CL2020

DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification

Anastasios Bairaktaris, Symeon Symeonidis, Avi Arampatzis

This report describes the methods employed by the Democritus University of Thrace (DUTH) team for participating in SemEval-2020 Task 11: Detection of Propaganda Techniques in News…