Zobrazeno 1 - 10
of 3 155
pro vyhledávání: '"Crouse P"'
Autor:
Crouse, David
In this paper -- Part 2 of our series on discrete spacetime -- we first provide a review of the previously published Part 1 that included the first important steps in the development of a new model of discrete spacetime (DST): the Isotropic Model of
Externí odkaz:
http://arxiv.org/abs/2410.08234
Autor:
Basu, Kinjal, Abdelaziz, Ibrahim, Bradford, Kelsey, Crouse, Maxwell, Kate, Kiran, Kumaravel, Sadhana, Goyal, Saurabh, Munawar, Asim, Rizk, Yara, Wang, Xin, Lastras, Luis, Kapanipathi, Pavan
Autonomous agent applications powered by large language models (LLMs) have recently risen to prominence as effective tools for addressing complex real-world tasks. At their core, agentic workflows rely on LLMs to plan and execute the use of tools and
Externí odkaz:
http://arxiv.org/abs/2409.03797
Autor:
Abdelaziz, Ibrahim, Basu, Kinjal, Agarwal, Mayank, Kumaravel, Sadhana, Stallone, Matthew, Panda, Rameswar, Rizk, Yara, Bhargav, GP, Crouse, Maxwell, Gunasekara, Chulaka, Ikbal, Shajith, Joshi, Sachin, Karanam, Hima, Kumar, Vineet, Munawar, Asim, Neelam, Sumit, Raghu, Dinesh, Sharma, Udit, Soria, Adriana Meza, Sreedhar, Dheeraj, Venkateswaran, Praveen, Unuvar, Merve, Cox, David, Roukos, Salim, Lastras, Luis, Kapanipathi, Pavan
Large language models (LLMs) have recently shown tremendous promise in serving as the backbone to agentic systems, as demonstrated by their performance in multi-faceted, challenging benchmarks like SWE-Bench and Agent-Bench. However, to realize the t
Externí odkaz:
http://arxiv.org/abs/2407.00121
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:
Basu, Kinjal, Abdelaziz, Ibrahim, Chaudhury, Subhajit, Dan, Soham, Crouse, Maxwell, Munawar, Asim, Kumaravel, Sadhana, Muthusamy, Vinod, Kapanipathi, Pavan, Lastras, Luis A.
There is a growing need for Large Language Models (LLMs) to effectively use tools and external Application Programming Interfaces (APIs) to plan and complete tasks. As such, there is tremendous interest in methods that can acquire sufficient quantiti
Externí odkaz:
http://arxiv.org/abs/2402.15491
Autor:
Young, Amber V., Crouse, Jaime, Arney, Giada, Domagal-Goldman, Shawn, Robinson, Tyler D., Bastelberger, Sandra T.
Exoplanet characterization missions planned for the future will soon enable searches for life beyond our solar system. Critical to the search will be the development of life detection strategies that can search for biosignatures while maintaining obs
Externí odkaz:
http://arxiv.org/abs/2311.07530
Autor:
Crouse, Maxwell, Abdelaziz, Ibrahim, Astudillo, Ramon, Basu, Kinjal, Dan, Soham, Kumaravel, Sadhana, Fokoue, Achille, Kapanipathi, Pavan, Roukos, Salim, Lastras, Luis
Autonomous, goal-driven agents powered by LLMs have recently emerged as promising tools for solving challenging problems without the need for task-specific finetuned models that can be expensive to procure. Currently, the design and implementation of
Externí odkaz:
http://arxiv.org/abs/2310.08535
Autor:
Brice Wang, Tianle Ma, Theresa Chen, Trinh Nguyen, Ethan Crouse, Stephen J. Fleming, Alison S. Walker, Vera Valakh, Ralda Nehme, Evan W. Miller, Samouil L. Farhi, Mehrtash Babadi
Publikováno v:
npj Imaging, Vol 2, Iss 1, Pp 1-21 (2024)
Abstract Voltage imaging is a powerful technique for studying neuronal activity, but its effectiveness is often constrained by low signal-to-noise ratios (SNR). Traditional denoising methods, such as matrix factorization, impose rigid assumptions abo
Externí odkaz:
https://doaj.org/article/dbf291f876f244e9bc6260017bca652d
Autor:
Caroline Rains, Kathryn J. Aikin, Helen W. Sullivan, Bridget J. Kelly, Shirley Liu, Camara Wooten, Jenna Brophy, Susana Peinado, Lauren McCormack, Sandra Crouse Quinn
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Under Sect. 564 of the Federal Food, Drug, and Cosmetic Act, when the US Department of Health and Human Services Secretary issues a declaration based on one of four types of determinations, FDA may authorize an unapproved product
Externí odkaz:
https://doaj.org/article/f391605836bd4c0cba8053bc5a16132d
Compositional generalization is a key ability of humans that enables us to learn new concepts from only a handful examples. Neural machine learning models, including the now ubiquitous Transformers, struggle to generalize in this way, and typically r
Externí odkaz:
http://arxiv.org/abs/2309.16467