activity
20232026
most citedCopyright Violations and Large Language Models

8 citations · 18 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Structure-Aware Text Recognition for Ancient Greek Critical Editions

Nicolas Angleraud, Antonia Karamolegkou, Benoît Sagot +1

Recent advances in visual language models (VLMs) have transformed end-to-end document understanding. However, their ability to interpret the complex layout semantics of historical…

cs.CV2025★ 1 cited

Evaluation of Cultural Competence of Vision-Language Models

Srishti Yadav, Lauren Tilton, Maria Antoniak +10

Modern vision-language models (VLMs) often fail at cultural competency evaluations and benchmarks. Given the diversity of applications built upon VLMs, there is renewed interest in…

cs.HC2025

Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users

Antonia Karamolegkou, Malvina Nikandrou, Georgios Pantazopoulos +5

This paper explores the effectiveness of Multimodal Large Language models (MLLMs) as assistive technologies for visually impaired individuals. We conduct a user survey to identify…

cs.CL2024

Ethical Concern Identification in NLP: A Corpus of ACL Anthology Ethics Statements

Antonia Karamolegkou, Sandrine Schiller Hansen, Ariadni Christopoulou +3

What ethical concerns, if any, do LLM researchers have? We introduce EthiCon, a corpus of 1,580 ethical concern statements extracted from scientific papers published in the ACL Ant…

cs.CV2024

Vision-Language Models under Cultural and Inclusive Considerations

Antonia Karamolegkou, Phillip Rust, Yong Cao +3

Large vision-language models (VLMs) can assist visually impaired people by describing images from their daily lives. Current evaluation datasets may not reflect diverse cultural us…

cs.CL2023

Cultural Adaptation of Recipes

Yong Cao, Yova Kementchedjhieva, Ruixiang Cui +5

Building upon the considerable advances in Large Language Models (LLMs), we are now equipped to address more sophisticated tasks demanding a nuanced understanding of cross-cultural…