From the 1 of 6 linked papers with an AI index.
6 papers
AgenticER: the next frontier in Entity Resolution
George Papadakis, Panos Korovesis, Manolis Koubarakis +1
The paper proposes Agentic Entity Resolution, a new paradigm where autonomous agents actively plan and execute sequential decision-making steps to resolve entities, gathering evide…
DistillER: Knowledge Distillation in Entity Resolution with Large Language Models
Alexandros Zeakis, George Papadakis, Dimitrios Skoutas +1
Recent advances in Entity Resolution (ER) have leveraged Large Language Models (LLMs), achieving strong performance but at the cost of substantial computational resources or high f…
Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach
Dimitra Panou, Alexandros C. Dimopoulos, Manolis Koubarakis +1
Biomedical text mining and question-answering are essential yet highly demanding tasks, particularly in the face of the exponential growth of biomedical literature. In this work, w…
TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives
Sergios-Anestis Kefalidis, Konstantinos Plas, Manolis Koubarakis
TerraQ is a spatiotemporal question-answering engine for satellite image archives. It is a natural language processing system that is built to process requests for satellite images…
Transformer-based Language Models for Reasoning in the Description Logic ALCQ
Angelos Poulis, Eleni Tsalapati, Manolis Koubarakis
Recent advancements in transformer-based language models have sparked research into their logical reasoning capabilities. Most of the benchmarks used to evaluate these models are s…
The Large Language Model GreekLegalRoBERTa
Vasileios Saketos, Despina-Athanasia Pantazi, Manolis Koubarakis
We develop four versions of GreekLegalRoBERTa, which are four large language models trained on Greek legal and nonlegal text. We show that our models surpass the performance of Gre…