Zobrazeno 1 - 10
of 4 098
pro vyhledávání: '"Santillan P"'
Autor:
Padhi, Inkit, Nagireddy, Manish, Cornacchia, Giandomenico, Chaudhury, Subhajit, Pedapati, Tejaswini, Dognin, Pierre, Murugesan, Keerthiram, Miehling, Erik, Cooper, Martín Santillán, Fraser, Kieran, Zizzo, Giulio, Hameed, Muhammad Zaid, Purcell, Mark, Desmond, Michael, Pan, Qian, Ashktorab, Zahra, Vejsbjerg, Inge, Daly, Elizabeth M., Hind, Michael, Geyer, Werner, Rawat, Ambrish, Varshney, Kush R., Sattigeri, Prasanna
We introduce the Granite Guardian models, a suite of safeguards designed to provide risk detection for prompts and responses, enabling safe and responsible use in combination with any large language model (LLM). These models offer comprehensive cover
Externí odkaz:
http://arxiv.org/abs/2412.07724
Autor:
Cota-Martínez, I. M., Antón, R. López, Garay-Tapia, A. M., Matutes-Aquino, J. A., Santillán-Rodríguez, C. R., Saénz-Hernández, R. J., Gutiérrez-Pérez, R. M., Holguín-Momaca, J. T., Ross, C. A., Olive-Méndez, Sion F.
Hexagonal antiferromagnetic D019-Mn3X (X = Sn, Ge, Ga) compounds, with a non-collinear Kagome spin structure, are Weyl semimetals exhibiting novel topological transport properties. The longitudinal magnetoresistance of c-oriented epitaxial Ru/Mn3Ga t
Externí odkaz:
http://arxiv.org/abs/2411.09031
Autor:
Wagner, Nico, Desmond, Michael, Nair, Rahul, Ashktorab, Zahra, Daly, Elizabeth M., Pan, Qian, Cooper, Martín Santillán, Johnson, James M., Geyer, Werner
LLM-as-a-Judge is a widely used method for evaluating the performance of Large Language Models (LLMs) across various tasks. We address the challenge of quantifying the uncertainty of LLM-as-a-Judge evaluations. While uncertainty quantification has be
Externí odkaz:
http://arxiv.org/abs/2410.11594
Autor:
Ashktorab, Zahra, Desmond, Michael, Pan, Qian, Johnson, James M., Cooper, Martin Santillan, Daly, Elizabeth M., Nair, Rahul, Pedapati, Tejaswini, Achintalwar, Swapnaja, Geyer, Werner
Evaluation of large language model (LLM) outputs requires users to make critical judgments about the best outputs across various configurations. This process is costly and takes time given the large amounts of data. LLMs are increasingly used as eval
Externí odkaz:
http://arxiv.org/abs/2410.00873
If the standard 1D quantum infinite potential well initially in its ground state suffers a sudden expansion, it turns out that in the evolution of the system they may appear plateaux of probability for some fractional times, as noticed by C. Aslangul
Externí odkaz:
http://arxiv.org/abs/2409.06058
The interaction between atoms and a quantized radiation field is fundamentally important in quantum optics and quantum information science. Due to their unusual properties, Rydberg atoms are promising building blocks for two-qubit gates and atom-ligh
Externí odkaz:
http://arxiv.org/abs/2408.15523
Autor:
Santillán, Jesica M. J., Arboleda, David Muñetón, Fornaro, Osvaldo, Lester, Marcelo, Schinca, Daniel C., Scaffardi, Lucía B.
In the nanometric scale, alloy nanomaterials behave as new materials since they are able to display structures and properties which are different from those of the pure metal nanostructures or bulk alloys. In this work, the compositional characterist
Externí odkaz:
http://arxiv.org/abs/2408.07140
Autor:
Herrera, M., Patiño, M. E., Alvarado, Mauricio, Maldonado, Ivonne, Andreev, Denis, Ayala, Alejandro, Bietenholz, Wolfgang, Ceballos, César, Cuáutle, Eleazar, Domínguez, Isabel, Hernández, L. A., Luna, Israel, Lygdenova, Tuyana, Martínez-Torres, Pablo, Raya, Alfredo, Sáenz-Trujillo, Ulises, Tejeda-Yeomans, M. E., Tinoco-Santillán, Galileo
We present the design of the mechanical structure of the miniBeBe detector, a subsystem of the Multi-Purpose Detector, soon to enter into operation at the Nuclotron based Ion Collider fAcility of the Joint Institute for Nuclear Research. The miniBeBe
Externí odkaz:
http://arxiv.org/abs/2408.00556
Autor:
Pan, Qian, Ashktorab, Zahra, Desmond, Michael, Cooper, Martin Santillan, Johnson, James, Nair, Rahul, Daly, Elizabeth, Geyer, Werner
Traditional reference-based metrics, such as BLEU and ROUGE, are less effective for assessing outputs from Large Language Models (LLMs) that produce highly creative or superior-quality text, or in situations where reference outputs are unavailable. W
Externí odkaz:
http://arxiv.org/abs/2407.03479
Publikováno v:
Journal of Computing in Higher Education,2021, 33, 614-634
The aim of this study was to predict university students' learning performance using different sources of data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources: learning strate
Externí odkaz:
http://arxiv.org/abs/2403.07194