30 citations · 49 across the 7 of their papers we have counts for
8 papers
Quanta: A Self-Contained Python Library for Hybrid Retrieval over Quantised Embeddings, Lexical Indexes, and Knowledge Graphs
Ioannis E. Livieris
An advanced retrieval-augmented generation pipeline is typically assembled from three or four independently operated systems: an approximate nearest-neighbour index, a full-text se…
ORPHEAS: A Cross-Lingual Greek-English Embedding Model for Retrieval-Augmented Generation
Ioannis E. Livieris, Athanasios Koursaris, Alexandra Apostolopoulou +2
Effective retrieval-augmented generation across bilingual Greek--English applications requires embedding models capable of capturing both domain-specific semantic relationships and…
CHORUS: An Agentic Framework for Generating Realistic Deliberation Data
A. Koursaris, G. Domalis, A. Apostolopoulou +3
Understanding the intricate dynamics of online discourse depends on large-scale deliberation data, a resource that remains scarce across interactive web platforms due to restrictiv…
GeNeX: Genetic Network eXperts framework for addressing Validation Overfitting
Emmanuel Pintelas, Ioannis E. Livieris
Excessive reliance on validation performance during model selection can lead to validation overfitting (VO), where models appear effective during development but fail at test time.…
Forging GEMs: Advancing Greek NLP through Quality-Based Corpus Curation
Alexandra Apostolopoulou, Konstantinos Kanaris, Athanasios Koursaris +3
The advancement of natural language processing for morphologically rich and moderately-resourced languages like Modern Greek has been hindered by architectural stagnation, data sca…
An evaluation framework for synthetic data generation models
Ioannis E. Livieris, Nikos Alimpertis, George Domalis +1
Nowadays, the use of synthetic data has gained popularity as a cost-efficient strategy for enhancing data augmentation for improving machine learning models performance as well as…
C-XGBoost: A tree boosting model for causal effect estimation
Niki Kiriakidou, Ioannis E. Livieris, Christos Diou
Causal effect estimation aims at estimating the Average Treatment Effect as well as the Conditional Average Treatment Effect of a treatment to an outcome from the available data. T…
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou +1
With the proliferation of image-based applications in various domains, the need for accurate and interpretable image similarity measures has become increasingly critical. Existing…