9 citations · 14 across the 41 of their papers we have counts for
30 papers · 1 filter
CultureBot: A Framework for Retrieval-Augmented Exploration of Cultural Heritage Data
Vasileios Karampinis, Angelos Vlachos, Giorgos Filandrianos +4
Digital cultural heritage collections encode rich relations among objects, places, periods, providers, images, and source institutions, yet users typically access them through keyw…
ARCCS: An Automated Regulatory Compliance Checking System
Giorgos Filandrianos, José Menezes, Chrysoula Zerva +1
Regulatory compliance checking - deciding whether a target document satisfies the obligations of a regulation - requires interpreting dense legal text, identifying which provisions…
Cross-Linguistic Effects in Bilingual Phoneme BabyLMs
Nikitas Theodoropoulos, Maria Lymperaiou, Giorgos Filandrianos
Cross-linguistic effects are a central topic in bilingual first-language acquisition. Artificial learners can help investigate L1-L2 interactions by enabling controlled comparisons…
Benchmarking Gender Bias in Machine Translation Evaluation Metrics across Occupations
Orfeas Menis Mastromichalakis, Giorgos Filandrianos, Wafaa Mohammed +2
Gender bias remains a persistent concern in machine translation (MT), affecting both generated translations and their automatic evaluation. When a source text leaves a person's gen…
An Empirical Study of Counterfactual Self-Explanations in LLMs
Giannis Kalyvas, Giorgos Filandrianos, Orfeas Menis Mastromichalakis +2
Large language models can easily generate explanations for their own outputs, but such self-explanations are not necessarily faithful to the model's behavior. We study this issue t…
AILS-NTUA at SemEval-2026 Task 8: Evaluating Multi-Turn RAG Conversations
Dimosthenis Athanasiou, Maria Lymperaiou, Giorgos Filandrianos +2
We present the AILS-NTUA system for SemEval-2026 Task 8 (MTRAGEval), addressing all three subtasks of multi-turn retrieval-augmented generation: passage retrieval (A), reference-gr…
AILS-NTUA at SemEval-2026 Task 3: Efficient Dimensional Aspect-Based Sentiment Analysis
Stavros Gazetas, Giorgos Filandrianos, Maria Lymperaiou +3
In this paper, we present AILS-NTUA system for Track-A of SemEval-2026 Task 3 on Dimensional Aspect-Based Sentiment Analysis (DimABSA), which encompasses three complementary proble…
AILS-NTUA at SemEval-2026 Task 10: Agentic LLMs for Psycholinguistic Marker Extraction and Conspiracy Endorsement Detection
Panagiotis Alexios Spanakis, Maria Lymperaiou, Giorgos Filandrianos +2
This paper presents a novel agentic LLM pipeline for SemEval-2026 Task 10 that jointly extracts psycholinguistic conspiracy markers and detects conspiracy endorsement. Unlike tradi…
AILS-NTUA at SemEval-2026 Task 12: Graph-Based Retrieval and Reflective Prompting for Abductive Event Reasoning
Nikolas Karafyllis, Maria Lymperaiou, Giorgos Filandrianos +2
We present a winning three-stage system for SemEval 2026 Task~12: Abductive Event Reasoning that combines graph-based retrieval, LLM-driven abductive reasoning with prompt design o…
Evaluating Counterfactual Strategic Reasoning in Large Language Models
Dimitrios Georgousis, Maria Lymperaiou, Angeliki Dimitriou +2
We evaluate Large Language Models (LLMs) in repeated game-theoretic settings to assess whether strategic performance reflects genuine reasoning or reliance on memorized patterns. W…
SemEval-2026 Task 6: CLARITY -- Unmasking Political Question Evasions
Konstantinos Thomas, Giorgos Filandrianos, Maria Lymperaiou +2
Political speakers often avoid answering questions directly while maintaining the appearance of responsiveness. Despite its importance for public discourse, such strategic evasion…
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…
GAMBIT+: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics
Giorgos Filandrianos, Orfeas Menis Mastromichalakis, Wafaa Mohammed +2
Gender bias in machine translation (MT) systems has been extensively documented, but bias in automatic quality estimation (QE) metrics remains comparatively underexplored. Existing…
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…
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…
Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms
Orfeas Menis Mastromichalakis, Giorgos Filandrianos, Maria Symeonaki +1
Machine Translation (MT) systems frequently encounter gender-ambiguous occupational terms, where they must assign gender without explicit contextual cues. While individual translat…
Pitfalls of Scale: Investigating the Inverse Task of Redefinition in Large Language Models
Elena Stringli, Maria Lymperaiou, Giorgos Filandrianos +2
Inverse tasks can uncover potential reasoning gaps as Large Language Models (LLMs) scale up. In this work, we explore the redefinition task, in which we assign alternative values t…
Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations
Giorgos Filandrianos, Angeliki Dimitriou, Maria Lymperaiou +2
The advent of Large Language Models (LLMs) has revolutionized product recommenders, yet their susceptibility to adversarial manipulation poses critical challenges, particularly in…
Enhancing adversarial robustness in Natural Language Inference using explanations
Alexandros Koulakos, Maria Lymperaiou, Giorgos Filandrianos +1
The surge of state-of-the-art Transformer-based models has undoubtedly pushed the limits of NLP model performance, excelling in a variety of tasks. We cast the spotlight on the und…
GOSt-MT: A Knowledge Graph for Occupation-related Gender Biases in Machine Translation
Orfeas Menis Mastromichalakis, Giorgos Filandrianos, Eva Tsouparopoulou +3
Gender bias in machine translation (MT) systems poses significant challenges that often result in the reinforcement of harmful stereotypes. Especially in the labour domain where fr…
BERTtime Stories: Investigating the Role of Synthetic Story Data in Language Pre-training
Nikitas Theodoropoulos, Giorgos Filandrianos, Vassilis Lyberatos +2
We describe our contribution to the Strict and Strict-Small tracks of the 2nd iteration of the BabyLM Challenge. The shared task is centered around efficient pre-training given dat…
"I Never Said That": A dataset, taxonomy and baselines on response clarity classification
Konstantinos Thomas, Giorgos Filandrianos, Maria Lymperaiou +2
Equivocation and ambiguity in public speech are well-studied discourse phenomena, especially in political science and analysis of political interviews. Inspired by the well-grounde…