9 citations · 14 across the 41 of their papers we have counts for
9 papers · 2 filters
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…
RISCORE: Enhancing In-Context Riddle Solving in Language Models through Context-Reconstructed Example Augmentation
Ioannis Panagiotopoulos, Giorgos Filandrianos, Maria Lymperaiou +1
Riddle-solving requires advanced reasoning skills, pushing LLMs to engage in abstract thinking and creative problem-solving, often revealing limitations in their cognitive abilitie…
Optimal and efficient text counterfactuals using Graph Neural Networks
Dimitris Lymperopoulos, Maria Lymperaiou, Giorgos Filandrianos +1
As NLP models become increasingly integral to decision-making processes, the need for explainability and interpretability has become paramount. In this work, we propose a framework…
AILS-NTUA at SemEval-2024 Task 6: Efficient model tuning for hallucination detection and analysis
Natalia Grigoriadou, Maria Lymperaiou, Giorgos Filandrianos +1
In this paper, we present our team's submissions for SemEval-2024 Task-6 - SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. The participants…
AILS-NTUA at SemEval-2024 Task 9: Cracking Brain Teasers: Transformer Models for Lateral Thinking Puzzles
Ioannis Panagiotopoulos, Giorgos Filandrianos, Maria Lymperaiou +1
In this paper, we outline our submission for the SemEval-2024 Task 9 competition: 'BRAINTEASER: A Novel Task Defying Common Sense'. We engage in both sub-tasks: Sub-task A-Sentence…
Puzzle Solving using Reasoning of Large Language Models: A Survey
Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos +1
Exploring the capabilities of Large Language Models (LLMs) in puzzle solving unveils critical insights into their potential and challenges in AI, marking a significant step towards…