6 papers
Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic Generation
Nour Rabih, Chatrine Qwaider, Ted Briscoe
While Large Language Models (LLMs) can generate fluent Arabic text, their ability to reliably control readability levels remains unclear. We propose a multi-dimensional evaluation…
Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs
Yara Alakeel, Chatrine Qwaider, Hanan Aldarmaki +1
This work investigates how effectively large language models (LLMs) and their tokenization schemes represent and generate Arabic root-pattern morphology, probing whether they captu…
ARWI: Arabic Write and Improve
Kirill Chirkunov, Bashar Alhafni, Chatrine Qwaider +2
Although Arabic is spoken by over 400 million people, advanced Arabic writing assistance tools remain limited. To address this gap, we present ARWI, a new writing assistant that he…
Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection
Chatrine Qwaider, Bashar Alhafni, Kirill Chirkunov +2
Automated Essay Scoring (AES) plays a crucial role in assessing language learners' writing quality, reducing grading workload, and providing real-time feedback. The lack of annotat…
Commonsense Reasoning in Arab Culture
Abdelrahman Sadallah, Junior Cedric Tonga, Khalid Almubarak +7
Despite progress in Arabic large language models, such as Jais and AceGPT, their evaluation on commonsense reasoning has largely relied on machine-translated datasets, which lack c…
GRDD: A Dataset for Greek Dialectal NLP
Stergios Chatzikyriakidis, Chatrine Qwaider, Ilias Kolokousis +3
In this paper, we present a dataset for the computational study of a number of Modern Greek dialects. It consists of raw text data from four dialects of Modern Greek, Cretan, Ponti…