Zobrazeno 1 - 10
of 2 172
pro vyhledávání: '"Chheda A"'
Publikováno v:
Annals of Indian Academy of Neurology, Vol 26, Iss 4, Pp 572-574 (2023)
Externí odkaz:
https://doaj.org/article/eb91fea874d347e3a5a8bf94b0bc47cd
Autor:
Subramanian, Shashank, Rrapaj, Ermal, Harrington, Peter, Chheda, Smeet, Farrell, Steven, Austin, Brian, Williams, Samuel, Wright, Nicholas, Bhimji, Wahid
Generative AI, in particular large transformer models, are increasingly driving HPC system design in science and industry. We analyze performance characteristics of such transformer models and discuss their sensitivity to the transformer type, parall
Externí odkaz:
http://arxiv.org/abs/2410.00273
Autor:
Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Zeng, Kuo-Hao, Borchardt, Jon, Groeneveld, Dirk, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A., Hajishirzi, Hannaneh, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha
Today's most advanced vision-language models (VLMs) remain proprietary. The strongest open-weight models rely heavily on synthetic data from proprietary VLMs to achieve good performance, effectively distilling these closed VLMs into open ones. As a r
Externí odkaz:
http://arxiv.org/abs/2409.17146
We present two studies exploring how blind or low-vision (BLV) family members engage with their sighted children's artwork, strategies to support understanding and interpretation, and the potential role of technology, such as AI, therein. Our first s
Externí odkaz:
http://arxiv.org/abs/2407.18874
Autor:
Li, Chu, Pang, Rock Yuren, Sharif, Ather, Chheda-Kothary, Arnavi, Heer, Jeffrey, Froehlich, Jon E.
Geovisualizations are powerful tools for exploratory spatial analysis, enabling sighted users to discern patterns, trends, and relationships within geographic data. However, these visual tools have remained largely inaccessible to screen-reader users
Externí odkaz:
http://arxiv.org/abs/2406.13853
Autor:
Al-Adhami, Khaleel, Chheda, Dev
The tango tree is the first proven $O(\lg \lg n)$-competitive binary search tree (BST). We present the first ever experimental implementation of tango trees and compare the running time of the tango tree with the multi-splay tree and the splay tree o
Externí odkaz:
http://arxiv.org/abs/2405.18825
We review the progress made on bounding the number of independent sets in $d$-regular and irregular graphs over the last 31 years. We particularly focus on contributions from Kahn, Zhao, and Sah et al. in incrementally proving stronger and more gener
Externí odkaz:
http://arxiv.org/abs/2405.18815
Autor:
Alshahwan, Nadia, Chheda, Jubin, Finegenova, Anastasia, Gokkaya, Beliz, Harman, Mark, Harper, Inna, Marginean, Alexandru, Sengupta, Shubho, Wang, Eddy
This paper describes Meta's TestGen-LLM tool, which uses LLMs to automatically improve existing human-written tests. TestGen-LLM verifies that its generated test classes successfully clear a set of filters that assure measurable improvement over the
Externí odkaz:
http://arxiv.org/abs/2402.09171
Autor:
Sonawane, Prathamesh, Chheda, Arav
Poker is in the family of imperfect information games unlike other games such as chess, connect four, etc which are perfect information game instead. While many perfect information games have been solved, no non-trivial imperfect information game has
Externí odkaz:
http://arxiv.org/abs/2401.06168
Autor:
Calder, A. C., Siegmann, E., Feldman, C., Chheda, S., Smolarski, D. C., Swesty, F. D., Curtis, A., Dey, J., Carlson, D., Michalowicz, B., Harrison, R. J.
We present a look at Ookami, a project providing community access to a testbed supercomputer with the ARM-based A64FX processors developed by a collaboration between RIKEN and Fujitsu and deployed in the Japanese supercomputer Fugaku. We describe the
Externí odkaz:
http://arxiv.org/abs/2311.04259