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pro vyhledávání: '"Md. A Rahman"'
Sentence-level embedding is essential for various tasks that require understanding natural language. Many studies have explored such embeddings for high-resource languages like English. However, low-resource languages like Bengali (a language spoken
Externí odkaz:
http://arxiv.org/abs/2411.15270
Autor:
Miah, Abu Saleh Musa, Tusher, Md Mahbubur Rahman, Hossain, Md. Moazzem, Hossain, Md Mamun, Rahim, Md Abdur, Hamid, Md Ekramul, Islam, Md. Saiful, Shin, Jungpil
In recent years, advanced artificial intelligence technologies, such as ChatGPT, have significantly impacted various fields, including education and research. Developed by OpenAI, ChatGPT is a powerful language model that presents numerous opportunit
Externí odkaz:
http://arxiv.org/abs/2411.02816
Autor:
Chowdhury, Md Tawsif Rahman, Vo, Huynh Quang Nguyen, Ramanan, Paritosh, Yildirim, Murat, Tutuncuoglu, Gozde
The Von Neumann bottleneck, a fundamental challenge in conventional computer architecture, arises from the inability to execute fetch and data operations simultaneously due to a shared bus linking processing and memory units. This bottleneck signific
Externí odkaz:
http://arxiv.org/abs/2409.06140
Autor:
Islam, Mohammed Saidul, Laskar, Md Tahmid Rahman, Parvez, Md Rizwan, Hoque, Enamul, Joty, Shafiq
Data-driven storytelling is a powerful method for conveying insights by combining narrative techniques with visualizations and text. These stories integrate visual aids, such as highlighted bars and lines in charts, along with textual annotations exp
Externí odkaz:
http://arxiv.org/abs/2408.05346
Autor:
Laskar, Md Tahmid Rahman, Alqahtani, Sawsan, Bari, M Saiful, Rahman, Mizanur, Khan, Mohammad Abdullah Matin, Khan, Haidar, Jahan, Israt, Bhuiyan, Amran, Tan, Chee Wei, Parvez, Md Rizwan, Hoque, Enamul, Joty, Shafiq, Huang, Jimmy
Large Language Models (LLMs) have recently gained significant attention due to their remarkable capabilities in performing diverse tasks across various domains. However, a thorough evaluation of these models is crucial before deploying them in real-w
Externí odkaz:
http://arxiv.org/abs/2407.04069
The anisotropic optical absorption edge of $\beta$-Ga$_2$O$_3$ follows a modified Beer-Lambert law having two effective absorption coefficients. The absorption coefficient of linearly polarized light reduces to the least absorbing direction beyond a
Externí odkaz:
http://arxiv.org/abs/2407.00190
Autor:
Islam, Mohammed Saidul, Rahman, Raian, Masry, Ahmed, Laskar, Md Tahmid Rahman, Nayeem, Mir Tafseer, Hoque, Enamul
Natural language is a powerful complementary modality of communication for data visualizations, such as bar and line charts. To facilitate chart-based reasoning using natural language, various downstream tasks have been introduced recently such as ch
Externí odkaz:
http://arxiv.org/abs/2406.00257
In today's world, image processing plays a crucial role across various fields, from scientific research to industrial applications. But one particularly exciting application is image captioning. The potential impact of effective image captioning is v
Externí odkaz:
http://arxiv.org/abs/2404.18062
Weakly-supervised diffusion models (DMs) in anomaly segmentation, leveraging image-level labels, have attracted significant attention for their superior performance compared to unsupervised methods. It eliminates the need for pixel-level labels in tr
Externí odkaz:
http://arxiv.org/abs/2404.15683
Autor:
Niu, Wei, Sanim, Md Musfiqur Rahman, Shu, Zhihao, Guan, Jiexiong, Shen, Xipeng, Yin, Miao, Agrawal, Gagan, Ren, Bin
This work is motivated by recent developments in Deep Neural Networks, particularly the Transformer architectures underlying applications such as ChatGPT, and the need for performing inference on mobile devices. Focusing on emerging transformers (spe
Externí odkaz:
http://arxiv.org/abs/2404.13528