activity
20222024
most citedQCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models

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

collaborators

8 papers

cs.CL2024★ 1 cited

Casablanca: Data and Models for Multidialectal Arabic Speech Recognition

Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy +24

In spite of the recent progress in speech processing, the majority of world languages and dialects remain uncovered. This situation only furthers an already wide technological divi…

cs.CL2024

The Geometry of Numerical Reasoning: Language Models Compare Numeric Properties in Linear Subspaces

Ahmed Oumar El-Shangiti, Tatsuya Hiraoka, Hilal AlQuabeh +2

This paper investigates whether large language models (LLMs) utilize numerical attributes encoded in a low-dimensional subspace of the embedding space when answering questions invo…

cs.CL2024★ 1 cited

Arabic Automatic Story Generation with Large Language Models

Ahmed Oumar El-Shangiti, Fakhraddin Alwajih, Muhammad Abdul-Mageed

Large language models (LLMs) have recently emerged as a powerful tool for a wide range of language generation tasks. Nevertheless, this progress has been slower in Arabic. In this…

cs.CL2023

Arabic Fine-Grained Entity Recognition

Haneen Liqreina, Mustafa Jarrar, Mohammed Khalilia +2

Traditional NER systems are typically trained to recognize coarse-grained entities, and less attention is given to classifying entities into a hierarchy of fine-grained lower-level…

cs.CL2023★ 2 cited

TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties

Karima Kadaoui, Samar M. Magdy, Abdul Waheed +4

Despite the purported multilingual proficiency of instruction-finetuned large language models (LLMs) such as ChatGPT and Bard, the linguistic inclusivity of these models remains in…

cs.CL2023★ 3 cited

QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models

Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi +2

Misinformation spreading in mainstream and social media has been misleading users in different ways. Manual detection and verification efforts by journalists and fact-checkers can…