Zobrazeno 1 - 10
of 4 299
pro vyhledávání: '"Thomas, Stephen A."'
Autor:
Adeniji, Oluwatobi, Henry, Charles, Thomas, Stephen, Sapp, Robert Colson, Goyal, Anish, Clark, Charles W., Edwards, Mark
We present a proof-of-concept design for an atomtronic rotation sensor consisting of an array of ``double-target'' Bose-Einstein condensates (BECs). A ``target'' BEC is a disk-shaped condensate surrounded by a concentric ring-shaped condensate. A ``d
Externí odkaz:
http://arxiv.org/abs/2411.06585
In this paper, we propose some Chebyshev polynomials of the 1st-kind which produce optimal bound for a polynomial dependent constant involved in the AMG $V$-cycle error bound and do not require information about the spectrum of matrices. We formulate
Externí odkaz:
http://arxiv.org/abs/2407.09848
Autor:
Ying, Cecilia, Thomas, Stephen
In an effort to improve the accuracy of credit lending decisions, many financial intuitions are now using predictions from machine learning models. While such predictions enjoy many advantages, recent research has shown that the predictions have the
Externí odkaz:
http://arxiv.org/abs/2403.10652
With the widespread adoption of large language models (LLMs) in numerous applications, the challenge of factuality and the propensity for hallucinations has emerged as a significant concern. To address this issue, particularly in retrieval-augmented
Externí odkaz:
http://arxiv.org/abs/2402.09390
Autor:
Grace, Katja, Stewart, Harlan, Sandkühler, Julia Fabienne, Thomas, Stephen, Weinstein-Raun, Ben, Brauner, Jan
In the largest survey of its kind, 2,778 researchers who had published in top-tier artificial intelligence (AI) venues gave predictions on the pace of AI progress and the nature and impacts of advanced AI systems The aggregate forecasts give at least
Externí odkaz:
http://arxiv.org/abs/2401.02843
ChatGPT as Data Augmentation for Compositional Generalization: A Case Study in Open Intent Detection
Publikováno v:
Proceedings of the Joint Workshop of the 5th Financial Technology and Natural Language Processing (FinNLP) and 2nd Multimodal AI For Financial Forecasting (Muffin), Macao, August 20, 2023
Open intent detection, a crucial aspect of natural language understanding, involves the identification of previously unseen intents in user-generated text. Despite the progress made in this field, challenges persist in handling new combinations of la
Externí odkaz:
http://arxiv.org/abs/2308.13517
One of the limitations of recycled GCRO methods is the large amount of computation required to orthogonalize the basis vectors of the newly generated Krylov subspace for the approximate solution when combined with those of the recycle subspace. Recen
Externí odkaz:
http://arxiv.org/abs/2301.09480
With the recent surge of NLP technologies in the financial domain, banks and other financial entities have adopted virtual agents (VA) to assist customers. A challenging problem for VAs in this domain is determining a user's reason or intent for cont
Externí odkaz:
http://arxiv.org/abs/2210.14304
Publikováno v:
SAGE Open, Vol 14 (2024)
Much of the university spin-offs (USOs) literature either focuses on the influence of parent universities or the external environments on enterprise performance in economies with one aspect almost always neglected, that is, the role of USOs’ corpor
Externí odkaz:
https://doaj.org/article/1dd14cb8d2b74a6183032a58ef3fb299
