4 citations · 7 across the 7 of their papers we have counts for
6 papers · 1 filter
AfroScope: A Framework for Studying the Linguistic Landscape of Africa
Sang Yun Kwon, AbdelRahim Elmadany, Muhammad Abdul-Mageed
Language Identification (LID), the task of determining the language of a given text, is a fundamental preprocessing step that shapes the reliability of downstream NLP applications.…
Voice of a Continent: Mapping Africa's Speech Technology Frontier
AbdelRahim Elmadany, Sang Yun Kwon, Hawau Olamide Toyin +3
Africa's rich linguistic diversity remains significantly underrepresented in speech technologies, creating barriers to digital inclusion. To alleviate this challenge, we systematic…
Jawaher: A Multidialectal Dataset of Arabic Proverbs for LLM Benchmarking
Samar M. Magdy, Sang Yun Kwon, Fakhraddin Alwajih +3
Recent advancements in instruction fine-tuning, alignment methods such as reinforcement learning from human feedback (RLHF), and optimization techniques like direct preference opti…
Gazelle: An Instruction Dataset for Arabic Writing Assistance
Samar M. Magdy, Fakhraddin Alwajih, Sang Yun Kwon +2
Writing has long been considered a hallmark of human intelligence and remains a pinnacle task for artificial intelligence (AI) due to the intricate cognitive processes involved. Re…
Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction
Sang Yun Kwon, Gagan Bhatia, El Moatez Billah Nagoudi +1
Large language models (LLMs) finetuned to follow human instruction have recently exhibited significant capabilities in various English NLP tasks. However, their performance in gram…
Zero-Shot Slot and Intent Detection in Low-Resource Languages
Sang Yun Kwon, Gagan Bhatia, El Moatez Billah Nagoudi +2
Intent detection and slot filling are critical tasks in spoken and natural language understanding for task-oriented dialog systems. In this work we describe our participation in th…