4 citations · 6 across the 5 of their papers we have counts for
5 papers
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…
Investigating Mixture of Experts in Dense Retrieval
Effrosyni Sokli, Pranav Kasela, Georgios Peikos +1
While Dense Retrieval Models (DRMs) have advanced Information Retrieval (IR), one limitation of these neural models is their narrow generalizability and robustness. To cope with th…
Leveraging Large Language Models for Medical Information Extraction and Query Generation
Georgios Peikos, Pranav Kasela, Gabriella Pasi
This paper introduces a system that integrates large language models (LLMs) into the clinical trial retrieval process, enhancing the effectiveness of matching patients with eligibl…
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…
UNIMIB at TREC 2021 Clinical Trials Track
Georgios Peikos, Oscar Espitia, Gabriella Pasi
This contribution summarizes the participation of the UNIMIB team to the TREC 2021 Clinical Trials Track. We have investigated the effect of different query representations combine…