Zobrazeno 21 - 30
of 7 660
pro vyhledávání: '"Davis, James"'
Autor:
Schorlemmer, Taylor R, Kalu, Kelechi G, Chigges, Luke, Ko, Kyung Myung, Isghair, Eman Abu, Baghi, Saurabh, Torres-Arias, Santiago, Davis, James C
Many software applications incorporate open-source third-party packages distributed by public package registries. Guaranteeing authorship along this supply chain is a challenge. Package maintainers can guarantee package authorship through software si
Externí odkaz:
http://arxiv.org/abs/2401.14635
This poster describes work on the General Data Protection Regulation (GDPR) in open-source software. Although open-source software is commonly integrated into regulated software, and thus must be engineered or adapted for compliance, we do not know h
Externí odkaz:
http://arxiv.org/abs/2401.14629
Autor:
Chen, Yuhao, Wong, Chloe, Yang, Hanwen, Aguenza, Juan, Bhujangari, Sai, Vu, Benthan, Lei, Xun, Prasad, Amisha, Fluss, Manny, Phuong, Eric, Liu, Minghao, Kumar, Raja, Vats, Vanshika, Davis, James
This study critically evaluates the efficacy of prompting methods in enhancing the mathematical reasoning capability of large language models (LLMs). The investigation uses three prescriptive prompting methods - simple, persona, and conversational pr
Externí odkaz:
http://arxiv.org/abs/2312.15006
Autor:
Davis, James Collins
Regular expressions (regexes) are a widely-used yet little-studied software component. Engineers use regexes to match domain-specific languages of strings. Unfortunately, many regex engine implementations perform these matches with worst-case polynom
Externí odkaz:
http://hdl.handle.net/10919/98593
Autor:
Wang, Chong, Chen, Yuanhong, Liu, Fengbei, Liu, Yuyuan, McCarthy, Davis James, Frazer, Helen, Carneiro, Gustavo
Prototypical-part methods, e.g., ProtoPNet, enhance interpretability in image recognition by linking predictions to training prototypes, thereby offering intuitive insights into their decision-making. Existing methods, which rely on a point-based lea
Externí odkaz:
http://arxiv.org/abs/2312.00092
Denniston constructed partial difference sets (PDSs) with the parameters $(2^{3m}, (2^{m+r} - 2^m + 2^r)(2^m-1), 2^m-2^r+(2^{m+r}-2^m+2^r)(2^r-2), (2^{m+r}-2^m+2^r)(2^r-1))$ in elementary abelian groups of order $2^{3m}$ for all $m \geq 2, 1 \leq r <
Externí odkaz:
http://arxiv.org/abs/2311.00512
Autor:
Amusuo, Paschal C., Robinson, Kyle A., Singla, Tanmay, Peng, Huiyun, Machiry, Aravind, Torres-Arias, Santiago, Simon, Laurent, Davis, James C.
Third-party software components like Log4J accelerate software application development but introduce substantial risk. These components have led to many software supply chain attacks. These attacks succeed because third-party software components are
Externí odkaz:
http://arxiv.org/abs/2310.14117
Population health surveys are an important tool to effectively allocate limited resources in low resource communities. In such an environment, surveys are often done by local population with pen and paper. Data thus collected is difficult to tabulate
Externí odkaz:
http://arxiv.org/abs/2310.07888
Autor:
Song, Shuaiwen Leon, Kruft, Bonnie, Zhang, Minjia, Li, Conglong, Chen, Shiyang, Zhang, Chengming, Tanaka, Masahiro, Wu, Xiaoxia, Rasley, Jeff, Awan, Ammar Ahmad, Holmes, Connor, Cai, Martin, Ghanem, Adam, Zhou, Zhongzhu, He, Yuxiong, Luferenko, Pete, Kumar, Divya, Weyn, Jonathan, Zhang, Ruixiong, Klocek, Sylwester, Vragov, Volodymyr, AlQuraishi, Mohammed, Ahdritz, Gustaf, Floristean, Christina, Negri, Cristina, Kotamarthi, Rao, Vishwanath, Venkatram, Ramanathan, Arvind, Foreman, Sam, Hippe, Kyle, Arcomano, Troy, Maulik, Romit, Zvyagin, Maxim, Brace, Alexander, Zhang, Bin, Bohorquez, Cindy Orozco, Clyde, Austin, Kale, Bharat, Perez-Rivera, Danilo, Ma, Heng, Mann, Carla M., Irvin, Michael, Pauloski, J. Gregory, Ward, Logan, Hayot, Valerie, Emani, Murali, Xie, Zhen, Lin, Diangen, Shukla, Maulik, Foster, Ian, Davis, James J., Papka, Michael E., Brettin, Thomas, Balaprakash, Prasanna, Tourassi, Gina, Gounley, John, Hanson, Heidi, Potok, Thomas E, Pasini, Massimiliano Lupo, Evans, Kate, Lu, Dan, Lunga, Dalton, Yin, Junqi, Dash, Sajal, Wang, Feiyi, Shankar, Mallikarjun, Lyngaas, Isaac, Wang, Xiao, Cong, Guojing, Zhang, Pei, Fan, Ming, Liu, Siyan, Hoisie, Adolfy, Yoo, Shinjae, Ren, Yihui, Tang, William, Felker, Kyle, Svyatkovskiy, Alexey, Liu, Hang, Aji, Ashwin, Dalton, Angela, Schulte, Michael, Schulz, Karl, Deng, Yuntian, Nie, Weili, Romero, Josh, Dallago, Christian, Vahdat, Arash, Xiao, Chaowei, Gibbs, Thomas, Anandkumar, Anima, Stevens, Rick
In the upcoming decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences. This could herald a new era of scientific exploration, bringing significant advancements across sectors fro
Externí odkaz:
http://arxiv.org/abs/2310.04610
Autor:
Jiang, Wenxin, Jones, Jason, Yasmin, Jerin, Synovic, Nicholas, Sashti, Rajeev, Chen, Sophie, Thiruvathukal, George K., Tian, Yuan, Davis, James C.
Developing and training deep learning models is expensive, so software engineers have begun to reuse pre-trained deep learning models (PTMs) and fine-tune them for downstream tasks. Despite the wide-spread use of PTMs, we know little about the corres
Externí odkaz:
http://arxiv.org/abs/2310.03620