Zobrazeno 1 - 10
of 7 033
pro vyhledávání: '"Nishat, A."'
Autor:
Zulfikar, Wazeer, Protyasha, Nishat, Canales, Camila, Patel, Heli, Williamson, James, Sarnie, Laura, Nowinski, Lisa, Kosmyna, Nataliya, Townsend, Paige, Yuditskaya, Sophia, Talkar, Tanya, Sarawgi, Utkarsh Oggy, McDougle, Christopher, Quatieri, Thomas, Maes, Pattie, Mody, Maria
Adults who are minimally verbal with autism spectrum disorder (mvASD) have pronounced speech difficulties linked to impaired motor skills. Existing research and clinical assessments primarily use indirect methods such as standardized tests, video-bas
Externí odkaz:
http://arxiv.org/abs/2407.08877
Autor:
Abbasi, Mostafa, Nishat, Rahnuma Islam, Bond, Corey, Graham-Knight, John Brandon, Lasserre, Patricia, Lucet, Yves, Najjaran, Homayoun
Purpose- The significance of business processes has fostered a close collaboration between academia and industry. Moreover, the business landscape has witnessed continuous transformation, closely intertwined with technological advancements. Our main
Externí odkaz:
http://arxiv.org/abs/2407.11043
Autor:
Emran, Al Nahian Bin, Ganguly, Amrita, Puspo, Sadiya Sayara Chowdhury, Raihan, Nishat, Goswami, Dhiman
In this paper, we present MasonTigers' participation in SemEval-2024 Task 10, a shared task aimed at identifying emotions and understanding the rationale behind their flips within monolingual English and Hindi-English code-mixed dialogues. This task
Externí odkaz:
http://arxiv.org/abs/2407.00581
Code-mixing is a well-studied linguistic phenomenon that occurs when two or more languages are mixed in text or speech. Several studies have been conducted on building datasets and performing downstream NLP tasks on code-mixed data. Although it is no
Externí odkaz:
http://arxiv.org/abs/2405.06922
Autor:
Raihan, Nishat, Goswami, Dhiman, Puspo, Sadiya Sayara Chowdhury, Newman, Christian, Ranasinghe, Tharindu, Zampieri, Marcos
Recent advances in AI, machine learning, and NLP have led to the development of a new generation of Large Language Models (LLMs) that are trained on massive amounts of data and often have trillions of parameters. Commercial applications (e.g., ChatGP
Externí odkaz:
http://arxiv.org/abs/2404.02540
Autor:
Raihan, Md Nishat, Goswami, Dhiman, Emran, Al Nahian Bin, Puspo, Sadiya Sayara Chowdhury, Ganguly, Amrita, Zampieri, Marcos
Our paper presents team MasonTigers submission to the SemEval-2024 Task 9 - which provides a dataset of puzzles for testing natural language understanding. We employ large language models (LLMs) to solve this task through several prompting techniques
Externí odkaz:
http://arxiv.org/abs/2403.14982
Autor:
Goswami, Dhiman, Puspo, Sadiya Sayara Chowdhury, Raihan, Md Nishat, Emran, Al Nahian Bin, Ganguly, Amrita, Zampieri, Marcos
This paper presents the MasonTigers entry to the SemEval-2024 Task 1 - Semantic Textual Relatedness. The task encompasses supervised (Track A), unsupervised (Track B), and cross-lingual (Track C) approaches across 14 different languages. MasonTigers
Externí odkaz:
http://arxiv.org/abs/2403.14990
Autor:
Puspo, Sadiya Sayara Chowdhury, Raihan, Md Nishat, Goswami, Dhiman, Emran, Al Nahian Bin, Ganguly, Amrita, Uzuner, Ozlem
This paper presents the MasonTigers entry to the SemEval-2024 Task 8 - Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection. The task encompasses Binary Human-Written vs. Machine-Generated Text Classification (Trac
Externí odkaz:
http://arxiv.org/abs/2403.14989
Autor:
Chauhan, Nitesh, Caron, Christopher, Wang, Jiawei, Isichenko, Andrei, Helaly, Nishat, Liu, Kaikai, Niffenegger, Robert J., Blumenthal, Daniel J.
Integrating precise, stable, ultra-low noise visible light lasers into atomic systems is critical for advancing quantum information sciences and improving scalability and portability. Trapped ions are a leading approach for high-fidelity quantum comp
Externí odkaz:
http://arxiv.org/abs/2402.16742
Autor:
Emran, Al Nahian Bin, Ganguly, Amrita, Puspo, Sadiya Sayara Chowdhury, Goswami, Dhiman, Raihan, Md Nishat
The task of identifying public opinions on social media, particularly regarding climate activism and the detection of hate events, has emerged as a critical area of research in our rapidly changing world. With a growing number of people voicing eithe
Externí odkaz:
http://arxiv.org/abs/2402.01976