Zobrazeno 1 - 10
of 123 666
pro vyhledávání: '"Faisal, A."'
Autor:
Qarah, Faisal
This study presents EgyBERT, an Arabic language model pretrained on 10.4 GB of Egyptian dialectal texts. We evaluated EgyBERT's performance by comparing it with five other multidialect Arabic language models across 10 evaluation datasets. EgyBERT ach
Externí odkaz:
http://arxiv.org/abs/2408.03524
Autor:
Jaume, Guillaume, Vaidya, Anurag, Zhang, Andrew, Song, Andrew H., Chen, Richard J., Sahai, Sharifa, Mo, Dandan, Madrigal, Emilio, Le, Long Phi, Mahmood, Faisal
Developing self-supervised learning (SSL) models that can learn universal and transferable representations of H&E gigapixel whole-slide images (WSIs) is becoming increasingly valuable in computational pathology. These models hold the potential to adv
Externí odkaz:
http://arxiv.org/abs/2408.02859
Autor:
Bappy, Faisal Haque, Hasan, Kamrul, Sajid, Md Sajidul Islam, Pritom, Mir Mehedi Ahsan, Islam, Tariqul
Proof of Stake (PoS) blockchains offer promising alternatives to traditional Proof of Work (PoW) systems, providing scalability and energy efficiency. However, blockchains operate in a decentralized manner and the network is composed of diverse users
Externí odkaz:
http://arxiv.org/abs/2407.20983
Conflicting transactions within blockchain networks not only pose performance challenges but also introduce security vulnerabilities, potentially facilitating malicious attacks. In this paper, we explore the impact of conflicting transactions on bloc
Externí odkaz:
http://arxiv.org/abs/2407.20980
Autor:
Bari, M Saiful, Alnumay, Yazeed, Alzahrani, Norah A., Alotaibi, Nouf M., Alyahya, Hisham A., AlRashed, Sultan, Mirza, Faisal A., Alsubaie, Shaykhah Z., Alahmed, Hassan A., Alabduljabbar, Ghadah, Alkhathran, Raghad, Almushayqih, Yousef, Alnajim, Raneem, Alsubaihi, Salman, Mansour, Maryam Al, Alrubaian, Majed, Alammari, Ali, Alawami, Zaki, Al-Thubaity, Abdulmohsen, Abdelali, Ahmed, Kuriakose, Jeril, Abujabal, Abdalghani, Al-Twairesh, Nora, Alowisheq, Areeb, Khan, Haidar
We present ALLaM: Arabic Large Language Model, a series of large language models to support the ecosystem of Arabic Language Technologies (ALT). ALLaM is carefully trained considering the values of language alignment and knowledge transfer at scale.
Externí odkaz:
http://arxiv.org/abs/2407.15390
Compositional Zero-Shot Learning (CZSL) aims to predict unknown compositions made up of attribute and object pairs. Predicting compositions unseen during training is a challenging task. We are exploring Open World Compositional Zero-Shot Learning (OW
Externí odkaz:
http://arxiv.org/abs/2407.13715
Autor:
Subbiah, Melanie, Ladhak, Faisal, Mishra, Akankshya, Adams, Griffin, Chilton, Lydia B., McKeown, Kathleen
Human evaluation has been the gold standard for checking faithfulness in abstractive summarization. However, with a challenging source domain like narrative, multiple annotators can agree a summary is faithful, while missing details that are obvious
Externí odkaz:
http://arxiv.org/abs/2407.06501
Autor:
Kolbeinsson, Arinbjorn, O'Brien, Kyle, Huang, Tianjin, Gao, Shanghua, Liu, Shiwei, Schwarz, Jonathan Richard, Vaidya, Anurag, Mahmood, Faisal, Zitnik, Marinka, Chen, Tianlong, Hartvigsen, Thomas
Test-time interventions for language models can enhance factual accuracy, mitigate harmful outputs, and improve model efficiency without costly retraining. But despite a flood of new methods, different types of interventions are largely developing in
Externí odkaz:
http://arxiv.org/abs/2407.06483
Fine-tuning large language models (LLMs) on limited tabular data for classification tasks can lead to \textit{fine-tuning multiplicity}, where equally well-performing models make conflicting predictions on the same inputs due to variations in the tra
Externí odkaz:
http://arxiv.org/abs/2407.04173
Autor:
Bappy, Faisal Haque, Zaman, Tarannum Shaila, Sajid, Md Sajidul Islam, Pritom, Mir Mehedi Ahsan, Islam, Tariqul
While blockchains initially gained popularity in the realm of cryptocurrencies, their widespread adoption is expanding beyond conventional applications, driven by the imperative need for enhanced data security. Despite providing a secure network, blo
Externí odkaz:
http://arxiv.org/abs/2407.01426