Zobrazeno 1 - 10
of 6 514
pro vyhledávání: '"A. Abhyankar"'
Tabular reasoning involves interpreting natural language queries about tabular data, which presents a unique challenge of combining language understanding with structured data analysis. Existing methods employ either textual reasoning, which excels i
Externí odkaz:
http://arxiv.org/abs/2407.05952
Prompts to large language models (LLMs) have evolved beyond simple user questions. For LLMs to solve complex problems, today's practices are to include domain-specific instructions, illustration of tool usages, and/or long context such as textbook ch
Externí odkaz:
http://arxiv.org/abs/2407.00023
Large language models are increasingly integrated with external environments, tools, and agents like ChatGPT plugins to extend their capability beyond language-centric tasks. However, today's LLM inference systems are designed for standalone LLMs. Th
Externí odkaz:
http://arxiv.org/abs/2402.01869
Publikováno v:
Food Production, Processing and Nutrition, Vol 6, Iss 1, Pp 1-18 (2024)
Abstract Diabetes is characterized by prolonged hyperglycemia and disruptions in carbohydrate, lipid, and protein metabolism, stemming from inadequate insulin production, impaired insulin receptor functioning, or a combination of both. Conventional d
Externí odkaz:
https://doaj.org/article/68c73ff9a47e4bada5888a6f799f7e82
Autor:
Świrydowicz, Kasia, Koukpaizan, Nicholson, Ribizel, Tobias, Göbel, Fritz, Abhyankar, Shrirang, Anzt, Hartwig, Peleš, Slaven
Integrating renewable resources within the transmission grid at a wide scale poses significant challenges for economic dispatch as it requires analysis with more optimization parameters, constraints, and sources of uncertainty. This motivates the inv
Externí odkaz:
http://arxiv.org/abs/2306.14337
Autor:
Miao, Xupeng, Oliaro, Gabriele, Zhang, Zhihao, Cheng, Xinhao, Wang, Zeyu, Zhang, Zhengxin, Wong, Rae Ying Yee, Zhu, Alan, Yang, Lijie, Shi, Xiaoxiang, Shi, Chunan, Chen, Zhuoming, Arfeen, Daiyaan, Abhyankar, Reyna, Jia, Zhihao
This paper introduces SpecInfer, a system that accelerates generative large language model (LLM) serving with tree-based speculative inference and verification. The key idea behind SpecInfer is leveraging small speculative models to predict the LLM's
Externí odkaz:
http://arxiv.org/abs/2305.09781
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-12 (2024)
Abstract Background The Lin−Sca1+c-Kit+ (LSK) fraction of the bone marrow (BM) comprises multipotent hematopoietic stem cells (HSCs), which are vital to tissue homeostasis and vascular repair. While diabetes affects HSC homeostasis overall, the mol
Externí odkaz:
https://doaj.org/article/5b47f08f22ae4a41a2a6c453cb47f506
Recent years have seen a rich literature of data-driven approaches designed for power grid applications. However, insufficient consideration of domain knowledge can impose a high risk to the practicality of the methods. Specifically, ignoring the gri
Externí odkaz:
http://arxiv.org/abs/2304.10702
We present a solution of sparse alternating current optimal power flow (ACOPF) analysis on graphical processing unit (GPU). In particular, we discuss the performance bottlenecks and detail our efforts to accelerate the linear solver, a core component
Externí odkaz:
http://arxiv.org/abs/2302.08656
Autor:
Mayuresh M. Abhyankar, Feifan Xu, Deborah Chavez, Anna Goodroe, Elda Mendoza, Christopher Chen, Dhiraj K. Singh, Fernando Varnador, Sandra J. Sivananthan, Robert Kinsey, William R. Lykins, Brynn M. Murphy, Andrew R. Martin, Mark A. Tomai, Soutik Ghosal, Corey Casper, Karl Pedersen, William A. Petri, Christopher B. Fox
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 20, Iss 1 (2024)
Entamoeba histolytica, the causative agent of amebiasis, is one of the top three parasitic causes of mortality worldwide. However, no vaccine exists against amebiasis. Using a lead candidate vaccine containing the LecA fragment of Gal-lectin and GLA-
Externí odkaz:
https://doaj.org/article/551da17c7f22488f90dafec622622cb9