Results 21 to 30 of about 186,001 (296)
Mass-deformed ABJM Theory and LLM Geometries: Exact Holography
We present a detailed account and extension of our claim in arXiv:1610.01490. We test the gauge/gravity duality between the ${\cal N} = 6$ mass-deformed ABJM theory with U$_k(N)\times$U$_{-k}(N)$ gauge symmetry and the 11-dimensional supergravity on LLM ...
Jang, Dongmin +3 more
core +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Bubbling AdS and droplet descriptions of BPS geometries in IIB supergravity [PDF]
This paper focuses on supergravity duals of BPS states in N=4 super Yang-Mills. In order to describe these duals, we begin with a sequence of breathing mode reductions of IIB supergravity: first on S^3, then S^3 x S^1, and finally on S^3 x S^1 x CP^1. We
A. Donos +27 more
core +5 more sources
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
wiley +1 more source
Evaluating Reasoning in Large Language Models with a Modified Think-a-Number Game: Case Study
Background: Large language models (LLMs) excel at various tasks but often encounter difficulties when extended reasoning requires maintaining a consistent internal state.
Petr Hoza
doaj +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Minisuperspace Quantization of "Bubbling AdS" and Free Fermion Droplets
We quantize the space of 1/2 BPS configurations of Type IIB SUGRA found by Lin, Lunin and Maldacena (hep-th/0409174), directly in supergravity. We use the Crnkovic-Witten-Zuckerman covariant quantization method to write down the expression for the ...
A. Dhar +32 more
core +4 more sources
Evaluation of Quality of Slovak Language Use in LLMS
This study explores the rapid advancement of Large Language Models (LLMs) and their growing support for languages beyond English. Despite this progress, the LLM ecosystem remains predominantly focused on English, particularly in key areas such as ...
Dobeš Marek
doaj +1 more source
Comparison of Language Models in Skills Extraction From Vacancies and Resumes
The ability of large language models (LLMs) to “understand” large volumes of text data allows for consistent quality selection of candidates for company openings.
Lyubov Komarova +2 more
doaj +1 more source
Efficient Scalable Accurate Regression Queries in In-DBMS Analytics [PDF]
Recent trends aim to incorporate advanced data analytics capabilities within DBMSs. Linear regression queries are fundamental to exploratory analytics and predictive modeling.
Anagnostopoulos, Christos +1 more
core +1 more source

