14 citations · 46 across the 26 of their papers we have counts for
7 papers · 1 filter
GenAI Content Detection Task 2: AI vs. Human -- Academic Essay Authenticity Challenge
Shammur Absar Chowdhury, Hind Almerekhi, Mucahid Kutlu +5
This paper presents a comprehensive overview of the first edition of the Academic Essay Authenticity Challenge, organized as part of the GenAI Content Detection shared tasks colloc…
CAFE A Novel Code switching Dataset for Algerian Dialect French and English
Houssam Eddine-Othman Lachemat, Akli Abbas, Nourredine Oukas +3
The paper introduces and publicly releases (Data download link available after acceptance) CAFE -- the first Code-switching dataset between Algerian dialect, French, and english la…
AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
Basel Mousi, Nadir Durrani, Fatema Ahmad +6
Arabic, with its rich diversity of dialects, remains significantly underrepresented in Large Language Models, particularly in dialectal variations. We address this gap by introduci…
Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic
Yassine El Kheir, Hamdy Mubarak, Ahmed Ali +1
This paper presents a novel Dialectal Sound and Vowelization Recovery framework, designed to recognize borrowed and dialectal sounds within phonologically diverse and dialect-rich…
NativQA: Multilingual Culturally-Aligned Natural Query for LLMs
Md. Arid Hasan, Maram Hasanain, Fatema Ahmad +6
Natural Question Answering (QA) datasets play a crucial role in evaluating the capabilities of large language models (LLMs), ensuring their effectiveness in real-world applications…
Children's Speech Recognition through Discrete Token Enhancement
Vrunda N. Sukhadia, Shammur Absar Chowdhury
Children's speech recognition is considered a low-resource task mainly due to the lack of publicly available data. There are several reasons for such data scarcity, including expen…
Speech Representation Analysis based on Inter- and Intra-Model Similarities
Yassine El Kheir, Ahmed Ali, Shammur Absar Chowdhury
Self-supervised models have revolutionized speech processing, achieving new levels of performance in a wide variety of tasks with limited resources. However, the inner workings of…