9 citations · 43 across the 71 of their papers we have counts for
10 papers · 2 filters
A Greek Government Decisions Dataset for Public-Sector Analysis and Insight
Giorgos Antoniou, Giorgos Filandrianos, Aggelos Vlachos +4
We introduce an open, machine-readable corpus of Greek government decisions sourced from the national transparency platform Diavgeia. The resource comprises 1 million decisions, fe…
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements
Petros Raptopoulos, Giorgos Filandrianos, Maria Lymperaiou +1
Contract review is a complex and time-intensive task that typically demands specialized legal expertise, rendering it largely inaccessible to non-experts. Moreover, legal interpret…
Don't Erase, Inform! Detecting and Contextualizing Harmful Language in Cultural Heritage Collections
Orfeas Menis Mastromichalakis, Jason Liartis, Kristina Rose +2
Cultural Heritage (CH) data hold invaluable knowledge, reflecting the history, traditions, and identities of societies, and shaping our understanding of the past and present. Howev…
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question Answering
Andreas Evangelatos, Giorgos Filandrianos, Maria Lymperaiou +2
In this paper, we present our submission to SemEval-2025 Task 8: Question Answering over Tabular Data. This task, evaluated on the DataBench dataset, assesses Large Language Models…
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking
Iraklis Premptis, Maria Lymperaiou, Giorgos Filandrianos +3
The Unlearning Sensitive Content from Large Language Models task aims to remove targeted datapoints from trained models while minimally affecting their general knowledge. In our wo…
AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination Detection
Dimitra Karkani, Maria Lymperaiou, Giorgos Filandrianos +3
Multilingual hallucination detection stands as an underexplored challenge, which the Mu-SHROOM shared task seeks to address. In this work, we propose an efficient, training-free LL…