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of 14 074
pro vyhledávání: '"So, Suzanna"'
Self-supervised large language models have demonstrated the ability to perform Machine Translation (MT) via in-context learning, but little is known about where the model performs the task with respect to prompt instructions and demonstration example
Externí odkaz:
http://arxiv.org/abs/2403.04510
We study depth separation in infinite-width neural networks, where complexity is controlled by the overall squared $\ell_2$-norm of the weights (sum of squares of all weights in the network). Whereas previous depth separation results focused on separ
Externí odkaz:
http://arxiv.org/abs/2402.08808
Zero-shot In-context learning is the phenomenon where models can perform the task simply given the instructions. However, pre-trained large language models are known to be poorly calibrated for this task. One of the most effective approaches to handl
Externí odkaz:
http://arxiv.org/abs/2311.08324
Autor:
Elmassah, Suzanna
Publikováno v:
International Journal of Energy Sector Management, 2023, Vol. 18, Issue 5, pp. 1014-1040.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJESM-08-2021-0031
Autor:
Tafoya, Daniel, van Hoof, Peter A. M., Toala, Jesus A., Van de Steene, Griet, Randall, Suzanna, Unnikrishnan, Ramlal, Kimeswenger, Stefan, Hajduk, Marcin, Barria, Daniela, Zijlstra, Albert
We present high angular-resolution observations of Sakurai's object using the Atacama Large Millimeter Array, shedding new light on its morpho-kinematical structure. The millimetre continuum emission, observed at an angular resolution of 20 milliarcs
Externí odkaz:
http://arxiv.org/abs/2308.08962
Autor:
de Souza, Carolina Veiga Ferreira, Bonnet, Suzanna Maria, de Oliveira, Daniel, Cataldi, Marcio, Miranda, Fabio, Lage, Marcos
Publikováno v:
Published in: IEEE Transactions on Visualization and Computer Graphics ( Volume: 30, Issue: 1, January 2024)
Weather forecasting is essential for decision-making and is usually performed using numerical modeling. Numerical weather models, in turn, are complex tools that require specialized training and laborious setup and are challenging even for weather ex
Externí odkaz:
http://arxiv.org/abs/2308.05019
Publikováno v:
Interpersona: An International Journal on Personal Relationships, Vol 18, Iss 1, Pp 55-78 (2024)
Self-compassion plays a critical role in romantic relationships in that it improves relationship quality through trust, expressions of love, and commitment, leading to more satisfying relationships and well-being. Fewer studies have examined the role
Externí odkaz:
https://doaj.org/article/5899ac09953f4226b7379c7b63588016
Publikováno v:
Masker Medika, Vol 12, Iss 1, Pp 94-99 (2024)
Latar belakang : . Infertilitas merupakan salah satu masalah kesehatan global yang paling signifikan yang mempengaruhi jutaan orang usia reproduksi, baik pria maupun wanita di seluruh dunia. Infertilitas adalah kondisi pada sistem reproduksi yang gag
Externí odkaz:
https://doaj.org/article/9a55c96ad603447e9c9155c2150dd5a1
Neural networks often operate in the overparameterized regime, in which there are far more parameters than training samples, allowing the training data to be fit perfectly. That is, training the network effectively learns an interpolating function, a
Externí odkaz:
http://arxiv.org/abs/2305.15598
Autor:
Sia, Suzanna, Duh, Kevin
The phenomena of in-context learning has typically been thought of as "learning from examples". In this work which focuses on Machine Translation, we present a perspective of in-context learning as the desired generation task maintaining coherency wi
Externí odkaz:
http://arxiv.org/abs/2305.03573