Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Khondaker, Md Tawkat Islam"'
Prior works on detoxification are scattered in the sense that they do not cover all aspects of detoxification needed in a real-world scenario. Notably, prior works restrict the task of developing detoxification models to only a seen subset of platfor
Externí odkaz:
http://arxiv.org/abs/2402.15951
Autor:
Khan, Junaed Younus, Khondaker, Md Tawkat Islam, Hoque, Iram Tazim, Al-Absi, Hamada R H, Rahman, Mohammad Saifur, Guler, Reto, Alam, Tanvir, Rahman, M Sohel
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 11, p e21648 (2020)
BackgroundNovel coronavirus disease 2019 (COVID-19) is taking a huge toll on public health. Along with the non-therapeutic preventive measurements, scientific efforts are currently focused, mainly, on the development of vaccines and pharmacological t
Externí odkaz:
https://doaj.org/article/de1bd8880007439c9606f65454e612d9
Autor:
Kadaoui, Karima, Magdy, Samar M., Waheed, Abdul, Khondaker, Md Tawkat Islam, El-Shangiti, Ahmed Oumar, Nagoudi, El Moatez Billah, Abdul-Mageed, Muhammad
Despite the purported multilingual proficiency of instruction-finetuned large language models (LLMs) such as ChatGPT and Bard, the linguistic inclusivity of these models remains insufficiently explored. Considering this constraint, we present a thoro
Externí odkaz:
http://arxiv.org/abs/2308.03051
ChatGPT's emergence heralds a transformative phase in NLP, particularly demonstrated through its excellent performance on many English benchmarks. However, the model's efficacy across diverse linguistic contexts remains largely uncharted territory. T
Externí odkaz:
http://arxiv.org/abs/2305.14976
Autor:
Nagoudi, El Moatez Billah, Abdul-Mageed, Muhammad, Elmadany, AbdelRahim, Inciarte, Alcides Alcoba, Khondaker, Md Tawkat Islam
Scholarship on generative pretraining (GPT) remains acutely Anglocentric, leaving serious gaps in our understanding of the whole class of autoregressive models. For example, we have little knowledge about the potential of these models and their socie
Externí odkaz:
http://arxiv.org/abs/2212.10755
The prevalence of abusive language on different online platforms has been a major concern that raises the need for automated cross-platform abusive language detection. However, prior works focus on concatenating data from multiple platforms, inherent
Externí odkaz:
http://arxiv.org/abs/2211.06452
Autor:
Khondaker, Md Tawkat Islam, Nagoudi, El Moatez Billah, Elmadany, AbdelRahim, Abdul-Mageed, Muhammad, Lakshmanan, Laks V. S.
Contrastive learning (CL) brought significant progress to various NLP tasks. Despite this progress, CL has not been applied to Arabic NLP to date. Nor is it clear how much benefits it could bring to particular classes of tasks such as those involved
Externí odkaz:
http://arxiv.org/abs/2210.12314
Publikováno v:
2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
The learning and usage of an API is supported by official documentation. Like source code, API documentation is itself a software product. Several research results show that bad design in API documentation can make the reuse of API features difficult
Externí odkaz:
http://arxiv.org/abs/2102.08486
Autor:
Khan, Junaed Younus, Khondaker, Md. Tawkat Islam, Hoque, Iram Tazim, Al-Absi, Hamada, Rahman, Mohammad Saifur, Alam, Tanvir, Rahman, M. Sohel
Publikováno v:
JMIR Med Inform 2020;8(11):e21648
We are presenting COVID-19Base, a knowledgebase highlighting the biomedical entities related to COVID-19 disease based on literature mining. To develop COVID-19Base, we mine the information from publicly available scientific literature and related pu
Externí odkaz:
http://arxiv.org/abs/2005.05954
Publikováno v:
Machine Learning with Applications: 4(2021).100032
The proliferation of fake news and its propagation on social media has become a major concern due to its ability to create devastating impacts. Different machine learning approaches have been suggested to detect fake news. However, most of those focu
Externí odkaz:
http://arxiv.org/abs/1905.04749