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of 16 634
pro vyhledávání: '"A., Jayanthi"'
Understanding distinct neurological aging patterns across various populations is vital in the context of a globally aging populace. This study seeks to unravel the structural variations in the aging brain, taking into consideration different ethnic b
Externí odkaz:
http://arxiv.org/abs/2408.07280
Autor:
Wu, Ian, Jayanthi, Sravan, Viswanathan, Vijay, Rosenberg, Simon, Pakazad, Sina, Wu, Tongshuang, Neubig, Graham
Multimodal Retrieval Augmented Generation (MMRAG) is a powerful approach to question-answering over multimodal documents. A key challenge with evaluating MMRAG is the paucity of high-quality datasets matching the question styles and modalities of int
Externí odkaz:
http://arxiv.org/abs/2407.02233
Autor:
Peri, Raghuveer, Jayanthi, Sai Muralidhar, Ronanki, Srikanth, Bhatia, Anshu, Mundnich, Karel, Dingliwal, Saket, Das, Nilaksh, Hou, Zejiang, Huybrechts, Goeric, Vishnubhotla, Srikanth, Garcia-Romero, Daniel, Srinivasan, Sundararajan, Han, Kyu J, Kirchhoff, Katrin
Integrated Speech and Large Language Models (SLMs) that can follow speech instructions and generate relevant text responses have gained popularity lately. However, the safety and robustness of these models remains largely unclear. In this work, we in
Externí odkaz:
http://arxiv.org/abs/2405.08317
Autor:
Das, Nilaksh, Dingliwal, Saket, Ronanki, Srikanth, Paturi, Rohit, Huang, Zhaocheng, Mathur, Prashant, Yuan, Jie, Bekal, Dhanush, Niu, Xing, Jayanthi, Sai Muralidhar, Li, Xilai, Mundnich, Karel, Sunkara, Monica, Srinivasan, Sundararajan, Han, Kyu J, Kirchhoff, Katrin
Large language models (LLMs) have shown incredible proficiency in performing tasks that require semantic understanding of natural language instructions. Recently, many works have further expanded this capability to perceive multimodal audio and text
Externí odkaz:
http://arxiv.org/abs/2405.08295
Autor:
Vajiram, Jayanthi, Senthil, Aishwarya
The paper discusses the use of MRI for segmentation techniques, specifically focusing on brain tumor detection. It discusses the use of convolutional neural networks (CNN) for automatic segmentation but also discusses challenges such as non-isotropic
Externí odkaz:
http://arxiv.org/abs/2405.14886
Autor:
Jayanthi, Sai Muralidhar, Kulshreshtha, Devang, Dingliwal, Saket, Ronanki, Srikanth, Bodapati, Sravan
Personalization of automatic speech recognition (ASR) models is a widely studied topic because of its many practical applications. Most recently, attention-based contextual biasing techniques are used to improve the recognition of rare words and doma
Externí odkaz:
http://arxiv.org/abs/2311.08402
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Advancements in digital imaging and video processing are often challenged by low-light environments, leading to degraded visual quality. This affects critical sectors such as medical imaging, aerospace, and underwater exploration, where unev
Externí odkaz:
https://doaj.org/article/d3f534cc301f4ef28af5ef6f0b0c2ce1
Publikováno v:
Investment Management & Financial Innovations, Vol 21, Iss 4, Pp 289-300 (2024)
Cryptocurrency trading has gained significant adhesion in financial markets, making it essential to understand the factors influencing trading intentions. This study investigates the psychological and knowledge-based determinants of trading intention
Externí odkaz:
https://doaj.org/article/f7b4006c333e448fbb5772e080ce0bdc
Autor:
Tobias Ackermann, Engy Shokry, Ruhi Deshmukh, Jayanthi Anand, Laura C A Galbraith, Louise Mitchell, Giovanny Rodriguez-Blanco, Victor H Villar, Britt Amber Sterken, Colin Nixon, Sara Zanivan, Karen Blyth, David Sumpton, Saverio Tardito
Publikováno v:
EMBO Molecular Medicine, Vol 16, Iss 11, Pp 2749-2774 (2024)
Abstract The limited availability of therapeutic options for patients with triple-negative breast cancer (TNBC) contributes to the high rate of metastatic recurrence and poor prognosis. Ferroptosis is a type of cell death caused by iron-dependent lip
Externí odkaz:
https://doaj.org/article/10957b6640e845b78b80022107f4701b
Epileptic Seizure is an abnormal neuronal exertion in the brain, affecting nearly 70 million of the world's population (Ngugi et al., 2010). So many open-source neuroimaging tools are used for metabolism checkups and analysis purposes. The scope of o
Externí odkaz:
http://arxiv.org/abs/2308.07762