4 citations · 7 across the 7 of their papers we have counts for
7 papers
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…
ChatGPT for Arabic Grammatical Error Correction
Sang Yun Kwon, Gagan Bhatia, El Moatez Billah Nagoud +1
Recently, large language models (LLMs) fine-tuned to follow human instruction have exhibited significant capabilities in various English NLP tasks. However, their performance in gr…
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…