Zobrazeno 1 - 10
of 7 431
pro vyhledávání: '"Vasudev A"'
Publikováno v:
Journal of Krishna Institute of Medical Sciences University, Vol 12, Iss 03, Pp 131-135 (2023)
Pretilachlor is an extensively used herbicide worldwide that mimics the clinical presentation of Organophosphorus (OP) poisoning upon ingestion. Misdiagnosis can be a major setback and lead to inappropriate patient management. In this report, we dis
Externí odkaz:
https://doaj.org/article/a573c26d8f664a34b65dde7904be6dbf
Autor:
Ratzlaff, Neale, Olson, Matthew Lyle, Hinck, Musashi, Aflalo, Estelle, Tseng, Shao-Yen, Lal, Vasudev, Howard, Phillip
Large Multi-Modal Models (LMMs) have demonstrated impressive capabilities as general-purpose chatbots that can engage in conversations about a provided input, such as an image. However, their responses are influenced by societal biases present in the
Externí odkaz:
http://arxiv.org/abs/2411.12590
Autor:
Notton, Cassandre, Sharma, Vasudev, Trinh, Vincent Quoc-Huy, Chen, Lina, Xu, Minqi, Varma, Sonal, Hosseini, Mahdi S.
Colorectal cancer (CRC) is one of the few cancers that have an established dysplasia-carcinoma sequence that benefits from screening. Everyone over 50 years of age in Canada is eligible for CRC screening. About 20\% of those people will undergo a bio
Externí odkaz:
http://arxiv.org/abs/2411.05959
Autor:
Choubey, Prafulla Kumar, Su, Xin, Luo, Man, Peng, Xiangyu, Xiong, Caiming, Le, Tiep, Rosenman, Shachar, Lal, Vasudev, Mui, Phil, Ho, Ricky, Howard, Phillip, Wu, Chien-Sheng
Knowledge graphs (KGs) generated by large language models (LLMs) are becoming increasingly valuable for Retrieval-Augmented Generation (RAG) applications that require knowledge-intensive reasoning. However, existing KG extraction methods predominantl
Externí odkaz:
http://arxiv.org/abs/2410.16597
Autor:
Ratzlaff, Neale, Olson, Matthew Lyle, Hinck, Musashi, Tseng, Shao-Yen, Lal, Vasudev, Howard, Phillip
Large Vision Language Models (LVLMs) such as LLaVA have demonstrated impressive capabilities as general-purpose chatbots that can engage in conversations about a provided input image. However, their responses are influenced by societal biases present
Externí odkaz:
http://arxiv.org/abs/2410.13976
Peer review is a critical process for ensuring the integrity of published scientific research. Confidence in this process is predicated on the assumption that experts in the relevant domain give careful consideration to the merits of manuscripts whic
Externí odkaz:
http://arxiv.org/abs/2410.03019
CLIP is one of the most popular foundational models and is heavily used for many vision-language tasks. However, little is known about the inner workings of CLIP. To bridge this gap we propose a study to quantify the interpretability in CLIP like mod
Externí odkaz:
http://arxiv.org/abs/2409.06579
Publikováno v:
Journal of Ayurveda, Vol 15, Iss 1, Pp 9-13 (2021)
Introduction: In Vedas priority has been given to women in all her walks of life. Women lifespan can be broadly categorized into 3 phases based on the reproductive function i.e. Kanya (stage prior to menopause), Patni or Mata (active reproductive sta
Externí odkaz:
https://doaj.org/article/530934d371a647b882fbb3615acc91d4
Autor:
Yu, Sungduk, White, Brian L., Bhiwandiwalla, Anahita, Hinck, Musashi, Olson, Matthew Lyle, Nguyen, Tung, Lal, Vasudev
Detecting and attributing temperature increases due to climate change is crucial for understanding global warming and guiding adaptation strategies. The complexity of distinguishing human-induced climate signals from natural variability has challenge
Externí odkaz:
http://arxiv.org/abs/2408.15993
Self-attention is the core mathematical operation of modern transformer architectures and is also a significant computational bottleneck due to its quadratic complexity in the sequence length. In this work, we derive the scalar energy function whose
Externí odkaz:
http://arxiv.org/abs/2408.04093