2 papers
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…