most citedAn Impartial Transformer for Story Visualization

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

ARPA: A Novel Hybrid Model for Advancing Visual Word Disambiguation Using Large Language Models and Transformers

Aristi Papastavrou, Maria Lymperaiou, Giorgos Stamou

In the rapidly evolving fields of natural language processing and computer vision, Visual Word Sense Disambiguation (VWSD) stands as a critical, yet challenging task. The quest for…

cs.CV20242 cited

Automatic Generation of Fashion Images using Prompting in Generative Machine Learning Models

Georgia Argyrou, Angeliki Dimitriou, Maria Lymperaiou +2

The advent of artificial intelligence has contributed in a groundbreaking transformation of the fashion industry, redefining creativity and innovation in unprecedented ways. This w…

cs.CL2024

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…

cs.CL2024

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…

cs.CV2024

Masked Generative Story Transformer with Character Guidance and Caption Augmentation

Christos Papadimitriou, Giorgos Filandrianos, Maria Lymperaiou +1

Story Visualization (SV) is a challenging generative vision task, that requires both visual quality and consistency between different frames in generated image sequences. Previous…

cs.LG2024

Graph Edits for Counterfactual Explanations: A comparative study

Angeliki Dimitriou, Nikolaos Chaidos, Maria Lymperaiou +1

Counterfactuals have been established as a popular explainability technique which leverages a set of minimal edits to alter the prediction of a classifier. When considering concept…