Zobrazeno 1 - 10
of 205 938
pro vyhledávání: '"Graham, P"'
Autor:
Bhattacharjee, Soumyadeep, Kulkarni, S. R., Kong, Albert K. H., Tam, M. S., Bond, Howard E., El-Badry, Kareem, Caiazzo, Ilaria, Graham, Matthew J., Rodriguez, Antonio C., Zeimann, Gregory R., Fremling, Christoffer, Drake, Andrew J., Werner, Klaus, Rodriguez, Hector, Prince, Thomas A., Laher, Russ R., Chen, Tracy X., Riddle, Reed
Over the past several decades, time-series photometry of CSPNe has yielded significant results including, but not limited to, discoveries of nearly 100 binary systems, insights into pulsations and winds in young white dwarfs, and studies of stars und
Externí odkaz:
http://arxiv.org/abs/2410.03589
Elastoinertial turbulence (EIT) is a chaotic state that emerges in the flows of dilute polymer solutions. Direct numerical simulation (DNS) of EIT is highly computationally expensive due to the need to resolve the multi-scale nature of the system. Wh
Externí odkaz:
http://arxiv.org/abs/2410.02948
General-purpose LLM judges capable of human-level evaluation provide not only a scalable and accurate way of evaluating instruction-following LLMs but also new avenues for supervising and improving their performance. One promising way of leveraging L
Externí odkaz:
http://arxiv.org/abs/2410.02902
Complex chaotic dynamics, seen in natural and industrial systems like turbulent flows and weather patterns, often span vast spatial domains with interactions across scales. Accurately capturing these features requires a high-dimensional state space t
Externí odkaz:
http://arxiv.org/abs/2410.01238
While experiments and simulations have provided a rich picture of the dynamic heterogeneity in glasses at constant temperature or under steady shear, the dynamics of glasses under oscillatory shear remain comparatively less explored. Recent work has
Externí odkaz:
http://arxiv.org/abs/2410.01062
Autor:
Yeh, Chun-Hsiao, Wang, Jiayun, Graham, Andrew D., Liu, Andrea J., Tan, Bo, Chen, Yubei, Ma, Yi, Lin, Meng C.
Accurate diagnosis of ocular surface diseases is critical in optometry and ophthalmology, which hinge on integrating clinical data sources (e.g., meibography imaging and clinical metadata). Traditional human assessments lack precision in quantifying
Externí odkaz:
http://arxiv.org/abs/2410.00292
Autor:
Arannil, Vinayak, Bhabesh, Sourav Sanjukta, Narwal, Neha, Thirandas, Sai Nikhil, Wang, Darren Yow-Bang, Horwood, Graham, Chirayath, Alex Anto, Pandeshwar, Gouri
Large Language Models (LLMs) have shown remarkable ability to generalize effectively across numerous industry domains while executing a range of tasks. Many of these competencies are obtained from the data utilized during the pre-training phase of th
Externí odkaz:
http://arxiv.org/abs/2410.00260
Autor:
Croxford, Emma, Gao, Yanjun, Pellegrino, Nicholas, Wong, Karen K., Wills, Graham, First, Elliot, Liao, Frank J., Goswami, Cherodeep, Patterson, Brian, Afshar, Majid
Large Language Models have advanced clinical Natural Language Generation, creating opportunities to manage the volume of medical text. However, the high-stakes nature of medicine requires reliable evaluation, which remains a challenge. In this narrat
Externí odkaz:
http://arxiv.org/abs/2409.18170
This paper presents the development of a new entropy-based feature selection method for identifying and quantifying impacts. Here, impacts are defined as statistically significant differences in spatio-temporal fields when comparing datasets with and
Externí odkaz:
http://arxiv.org/abs/2409.18011
Autor:
Ou, Tianyue, Xu, Frank F., Madaan, Aman, Liu, Jiarui, Lo, Robert, Sridhar, Abishek, Sengupta, Sudipta, Roth, Dan, Neubig, Graham, Zhou, Shuyan
LLMs can now act as autonomous agents that interact with digital environments and complete specific objectives (e.g., arranging an online meeting). However, accuracy is still far from satisfactory, partly due to a lack of large-scale, direct demonstr
Externí odkaz:
http://arxiv.org/abs/2409.15637