Zobrazeno 1 - 10
of 5 216
pro vyhledávání: '"COX, A. D."'
We investigate the emergence of self-hybridized thermal magnetoplasmons in doped graphene nanodisks at finite temperatures when subjected to an external magnetic field. Using a semi-analytical approach, which fully describes the eigenmodes and polari
Externí odkaz:
http://arxiv.org/abs/2411.09377
Autor:
Jelver, Line, Cox, Joel D.
The linear electronic dispersion relation of graphene endows the atomically thin carbon layer with a large intrinsic optical nonlinearity, with regard to both parametric and photothermal processes. While plasmons in graphene nanostructures can furthe
Externí odkaz:
http://arxiv.org/abs/2408.14798
Autor:
Shen, Yikang, Stallone, Matthew, Mishra, Mayank, Zhang, Gaoyuan, Tan, Shawn, Prasad, Aditya, Soria, Adriana Meza, Cox, David D., Panda, Rameswar
Finding the optimal learning rate for language model pretraining is a challenging task. This is not only because there is a complicated correlation between learning rate, batch size, number of training tokens, model size, and other hyperparameters bu
Externí odkaz:
http://arxiv.org/abs/2408.13359
Autor:
Stallone, Matt, Saxena, Vaibhav, Karlinsky, Leonid, McGinn, Bridget, Bula, Tim, Mishra, Mayank, Soria, Adriana Meza, Zhang, Gaoyuan, Prasad, Aditya, Shen, Yikang, Surendran, Saptha, Guttula, Shanmukha, Patel, Hima, Selvam, Parameswaran, Dang, Xuan-Hong, Koyfman, Yan, Sood, Atin, Feris, Rogerio, Desai, Nirmit, Cox, David D., Puri, Ruchir, Panda, Rameswar
This paper introduces long-context Granite code models that support effective context windows of up to 128K tokens. Our solution for scaling context length of Granite 3B/8B code models from 2K/4K to 128K consists of a light-weight continual pretraini
Externí odkaz:
http://arxiv.org/abs/2407.13739
Autor:
Mishra, Mayank, Stallone, Matt, Zhang, Gaoyuan, Shen, Yikang, Prasad, Aditya, Soria, Adriana Meza, Merler, Michele, Selvam, Parameswaran, Surendran, Saptha, Singh, Shivdeep, Sethi, Manish, Dang, Xuan-Hong, Li, Pengyuan, Wu, Kun-Lung, Zawad, Syed, Coleman, Andrew, White, Matthew, Lewis, Mark, Pavuluri, Raju, Koyfman, Yan, Lublinsky, Boris, de Bayser, Maximilien, Abdelaziz, Ibrahim, Basu, Kinjal, Agarwal, Mayank, Zhou, Yi, Johnson, Chris, Goyal, Aanchal, Patel, Hima, Shah, Yousaf, Zerfos, Petros, Ludwig, Heiko, Munawar, Asim, Crouse, Maxwell, Kapanipathi, Pavan, Salaria, Shweta, Calio, Bob, Wen, Sophia, Seelam, Seetharami, Belgodere, Brian, Fonseca, Carlos, Singhee, Amith, Desai, Nirmit, Cox, David D., Puri, Ruchir, Panda, Rameswar
Large Language Models (LLMs) trained on code are revolutionizing the software development process. Increasingly, code LLMs are being integrated into software development environments to improve the productivity of human programmers, and LLM-based age
Externí odkaz:
http://arxiv.org/abs/2405.04324
Autor:
Sudalairaj, Shivchander, Bhandwaldar, Abhishek, Pareja, Aldo, Xu, Kai, Cox, David D., Srivastava, Akash
This work introduces LAB (Large-scale Alignment for chatBots), a novel methodology designed to overcome the scalability challenges in the instruction-tuning phase of large language model (LLM) training. Leveraging a taxonomy-guided synthetic data gen
Externí odkaz:
http://arxiv.org/abs/2403.01081
Publikováno v:
Sci. Adv. 10, eadn6312 (2024)
Entangled photon pairs are a key resource in future quantum-optical communication and information technologies. While high-power laser light propagating in bulk nonlinear optical crystals is conventionally used to generate entangled photons that are
Externí odkaz:
http://arxiv.org/abs/2312.12209
Publikováno v:
Nanophotonics 13, 2741 (2024)
Nonlocal and quantum mechanical phenomena in noble metal nanostructures become increasingly crucial when the relevant length scales in hybrid nanostructures reach the few-nanometer regime. In practice, such mesoscopic effects at metal-dielectric inte
Externí odkaz:
http://arxiv.org/abs/2308.09134
Autor:
Bowman, Alan R., Echarri, Álvaro Rodríguez, Kiani, Fatemeh, Iyikanat, Fadil, Tsoulos, Ted V., Cox, Joel D., Sundararaman, Ravishankar, de Abajo, F. Javier García, Tagliabue, Giulia
Publikováno v:
Light. Sci. Appl. 13, 91 (2024)
Luminescence constitutes a unique source of insight into hot carrier processes in metals, including those in plasmonic nanostructures used for sensing and energy applications. However, being weak in nature, metal luminescence remains poorly understoo
Externí odkaz:
http://arxiv.org/abs/2307.08477
Autor:
Jelver, Line, Cox, Joel D.
Publikováno v:
ACS Nano 17, 20043 (2023)
Phosphorene has emerged as an atomically-thin platform for optoelectronics and nanophotonics due to its excellent nonlinear optical properties and the possibility of actively tuning light-matter interactions through electrical doping. While phosphore
Externí odkaz:
http://arxiv.org/abs/2305.09532