25 citations · 77 across the 74 of their papers we have counts for
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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…
CalliPaint: Chinese Calligraphy Inpainting with Diffusion Model
Qisheng Liao, Zhinuo Wang, Muhammad Abdul-Mageed +1
Chinese calligraphy can be viewed as a unique form of visual art. Recent advancements in computer vision hold significant potential for the future development of generative models…
Violet: A Vision-Language Model for Arabic Image Captioning with Gemini Decoder
Abdelrahman Mohamed, Fakhraddin Alwajih, El Moatez Billah Nagoudi +2
Although image captioning has a vast array of applications, it has not reached its full potential in languages other than English. Arabic, for instance, although the native languag…
Fumbling in Babel: An Investigation into ChatGPT's Language Identification Ability
Wei-Rui Chen, Ife Adebara, Khai Duy Doan +2
ChatGPT has recently emerged as a powerful NLP tool that can carry out a variety of tasks. However, the range of languages ChatGPT can handle remains largely a mystery. To uncover…
ProMap: Effective Bilingual Lexicon Induction via Language Model Prompting
Abdellah El Mekki, Muhammad Abdul-Mageed, ElMoatez Billah Nagoudi +2
Bilingual Lexicon Induction (BLI), where words are translated between two languages, is an important NLP task. While noticeable progress on BLI in rich resource languages using sta…
VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System
Abdul Waheed, Bashar Talafha, Peter Sullivan +2
Arabic is a complex language with many varieties and dialects spoken by over 450 millions all around the world. Due to the linguistic diversity and variations, it is challenging to…
WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task
Mustafa Jarrar, Muhammad Abdul-Mageed, Mohammed Khalilia +4
We present WojoodNER-2023, the first Arabic Named Entity Recognition (NER) Shared Task. The primary focus of WojoodNER-2023 is on Arabic NER, offering novel NER datasets (i.e., Woj…
Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation
AbdelRahim Elmadany, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed
Understanding Arabic text and generating human-like responses is a challenging endeavor. While many researchers have proposed models and solutions for individual problems, there is…
NADI 2023: The Fourth Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, AbdelRahim Elmadany, Chiyu Zhang +3
We describe the findings of the fourth Nuanced Arabic Dialect Identification Shared Task (NADI 2023). The objective of NADI is to help advance state-of-the-art Arabic NLP by creati…
The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 Languages
Chiyu Zhang, Khai Duy Doan, Qisheng Liao +1
Instruction tuned large language models (LLMs), such as ChatGPT, demonstrate remarkable performance in a wide range of tasks. Despite numerous recent studies that examine the perfo…
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…
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…
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…
N-Shot Benchmarking of Whisper on Diverse Arabic Speech Recognition
Bashar Talafha, Abdul Waheed, Muhammad Abdul-Mageed
Whisper, the recently developed multilingual weakly supervised model, is reported to perform well on multiple speech recognition benchmarks in both monolingual and multilingual set…
On the Robustness of Arabic Speech Dialect Identification
Peter Sullivan, AbdelRahim Elmadany, Muhammad Abdul-Mageed
Arabic dialect identification (ADI) tools are an important part of the large-scale data collection pipelines necessary for training speech recognition models. As these pipelines re…
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG
El Moatez Billah Nagoudi, AbdelRahim Elmadany, Ahmed El-Shangiti +1
We present Dolphin, a novel benchmark that addresses the need for a natural language generation (NLG) evaluation framework dedicated to the wide collection of Arabic languages and…
GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP
Md Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi +1
ChatGPT's emergence heralds a transformative phase in NLP, particularly demonstrated through its excellent performance on many English benchmarks. However, the model's efficacy acr…
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…
UBC-DLNLP at SemEval-2023 Task 12: Impact of Transfer Learning on African Sentiment Analysis
Gagan Bhatia, Ife Adebara, AbdelRahim Elmadany +1
We describe our contribution to the SemEVAl 2023 AfriSenti-SemEval shared task, where we tackle the task of sentiment analysis in 14 different African languages. We develop both mo…
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions
Minghao Wu, Abdul Waheed, Chiyu Zhang +2
Large language models (LLMs) with instruction fine-tuning demonstrate superior generative capabilities. However, these models are resource-intensive. To alleviate this issue, we ex…