Zobrazeno 1 - 10
of 3 968
pro vyhledávání: '"Sunitha, A. P."'
Retrieval Augmented Generation (RAG) techniques aim to mitigate hallucinations in Large Language Models (LLMs). However, LLMs can still produce information that is unsupported or contradictory to the retrieved contexts. We introduce LYNX, a SOTA hall
Externí odkaz:
http://arxiv.org/abs/2407.08488
Autor:
Kumar, Rohan, Kim, Youngmin, Ravi, Sunitha, Sun, Haitian, Faloutsos, Christos, Salakhutdinov, Ruslan, Yoon, Minji
Pretrained Large Language Models (LLMs) have gained significant attention for addressing open-domain Question Answering (QA). While they exhibit high accuracy in answering questions related to common knowledge, LLMs encounter difficulties in learning
Externí odkaz:
http://arxiv.org/abs/2403.01382
Autor:
Nair, Kavya. R., Sunitha, M. S.
Topological indices play a vital role in the area of graph theory and fuzzy graph (FG) theory. It has wide applications in the areas such as chemical graph theory, mathematical chemistry, etc. Topological indices produce a numerical parameter associa
Externí odkaz:
http://arxiv.org/abs/2307.10409
Autor:
Nair, Kavya. R., Sunitha, M. S.
The concepts of domination and topological index hold great significance within the realm of graph theory. Therefore, it is pertinent to merge these concepts to derive the domination index of a graph. A novel concept of the domination index is introd
Externí odkaz:
http://arxiv.org/abs/2307.10407
Publikováno v:
BMC Genomic Data, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Vitiligo is an auto-immune progressive depigmentation disorder of the skin due to loss of melanocytes. Genetic risk is one of the important factors for development of vitiligo. Preponderance of vitiligo in certain ethnicities is k
Externí odkaz:
https://doaj.org/article/3facd7a4906e447c9d47f133c49c0231
Autor:
Basavantraya Navadagi Devanna, Sumali Sucharita, N. C. Sunitha, C. Anilkumar, Pankaj K. Singh, D. Pramesh, Sanghamitra Samantaray, Lambodar Behera, Jawahar Lal Katara, C. Parameswaran, Prachitara Rout, Selvaraj Sabarinathan, Hosahatti Rajashekara, Tilak Raj Sharma
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Rice blast disease is the most devastating disease constraining crop productivity. Vertical resistance to blast disease is widely studied despite its instability. Clusters of genes or QTLs conferring blast resistance that offer durable horiz
Externí odkaz:
https://doaj.org/article/de119706bfda444cb42ffb2bd176f21e
Publikováno v:
Journal of Advanced Lung Health, Vol 4, Iss 3, Pp 148-153 (2024)
Background: Computed tomography (CT) has a larger role in the noninvasive examination of congenital lung abnormalities, thanks to the introduction of multidetector CT (MDCT). If a surgical lesion is suspected, it is often necessary to use cross-secti
Externí odkaz:
https://doaj.org/article/555878de0daa488fa1c9a95860078cd3
Autor:
Nisha Maheswari Y., Sunitha Kandasamy, Ezhil Ramya J., Padmavathi Subbiah, Prathiksha D. Davidson, Muthukrishnan Gopal, Lakshmi K. Velappan, Shantaraman Kalyanaraman
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 6, Pp 2416-2424 (2024)
Context: Despite the Weekly Iron folic acid supplementation (WIFS) program, the prevalence of anaemia among adolescent girls remains high. Phase 1 Indian Council of Medical Research (ICMR) task force study conducted in 2016 in Kallur showed that the
Externí odkaz:
https://doaj.org/article/cac949cd41c3412a9b5bfd0a021bd9f2
Autor:
Badri Karthikeyan, Sunitha Shyam Sunder, Igor Puzanov, Scott H. Olejniczak, Saraswati Pokharel, Umesh C. Sharma
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract Background Chimeric antigen receptor (CAR) T-cell therapy and bispecific T-cell engagers, which redirect T-cells to tumor antigens, have immensely benefitted patients with relapsed/refractory B-cell cancers. How these therapies differ in car
Externí odkaz:
https://doaj.org/article/56f2e0ed07d04888b6e7bdf82f0b550f
Deep learning models offer superior performance compared to other machine learning techniques for a variety of tasks and domains, but pose their own challenges. In particular, deep learning models require larger training times as the depth of a model
Externí odkaz:
http://arxiv.org/abs/2305.18445