Zobrazeno 1 - 10
of 7 727
pro vyhledávání: '"ZOHAIB, A."'
Autor:
Masood, Zohaib, Martin, Miguel Vargas
The use of Large Language Models (LLMs) in software development is rapidly growing, with developers increasingly relying on these models for coding assistance, including security-critical tasks. Our work presents a comprehensive comparison between tr
Externí odkaz:
http://arxiv.org/abs/2411.09772
This paper presents an analysis of biases in open-source Large Language Models (LLMs) across various genders, religions, and races. We introduce a methodology for generating a bias detection dataset using seven bias triggers: General Debate, Position
Externí odkaz:
http://arxiv.org/abs/2410.12499
Magnon based spintronic devices require the modulation of magnon spin transport for their operations. We provide a proof-of-principle of two unconventional non-local magnon transport devices in which we modulate the diffusive magnon transport of inco
Externí odkaz:
http://arxiv.org/abs/2409.02621
We investigate the injection, transport and detection of magnon spins in the van der Waals antiferromagnet chromium thiophosphate (CrPS4). We electrically and thermally inject magnon spins by platinum contacts and examine the non-local resistance as
Externí odkaz:
http://arxiv.org/abs/2409.02590
Autor:
Marzec, E., Ajimura, S., Antonakis, A., Botran, M., Cheoun, M. K., Choi, J. H., Choi, J. W., Choi, J. Y., Dodo, T., Furuta, H., Goh, J. H., Haga, K., Harada, M., Hasegawa, S., Hino, Y., Hiraiwa, T., Hwang, W., Iida, T., Iwai, E., Iwata, S., Jang, H. I., Jang, J. S., Jang, M. C., Jeon, H. K., Jeon, S. H., Joo, K. K., Jung, D. E., Kang, S. K., Kasugai, Y., Kawasaki, T., Kim, E. J., Kim, J. Y., Kim, E. M., Kim, S. Y., Kim, W., Kim, S. B., Kinoshita, H., Konno, T., Kuwata, K., Lee, D. H., Lee, S., Lim, I. T., Little, C., Maruyama, T., Masuda, S., Meigo, S., Monjushiro, S., Moon, D. H., Nakano, T., Niiyama, M., Nishikawa, K., Noumachi, M., Pac, M. Y., Park, B. J., Park, H. W., Park, J. B., Park, J. S., Park, R. G., Peeters, S. J. M., Roellinghoff, G., Rott, C., Ryu, J. W., Sakai, K., Sakamoto, S., Shima, T., Shin, C. D., Spitz, J., Stancu, I., Suekane, F., Sugaya, Y., Suzuya, K., Taira, M., Takeuchi, Y., Wang, W., Waterfield, J., Wei, W., White, R., Yamaguchi, Y., Yeh, M., Yeo, I. S., Yoo, C., Yu, I., Zohaib, A.
We present the first measurement of the missing energy due to nuclear effects in monoenergetic, muon neutrino charged-current interactions on carbon, originating from $K^+ \rightarrow \mu^+ \nu_\mu$ decay-at-rest ($E_{\nu_\mu}=235.5$ MeV), performed
Externí odkaz:
http://arxiv.org/abs/2409.01383
The Transformer architecture has revolutionized deep learning through its Self-Attention mechanism, which effectively captures contextual information. However, the memory footprint of Self-Attention presents significant challenges for long-sequence t
Externí odkaz:
http://arxiv.org/abs/2408.08454
Autor:
Salahuddin, Zohaib, Ibrahim, Abdalla, Kuang, Sheng, Widaatalla, Yousif, Miclea, Razvan L., Morin, Oliver, Behr, Spencer, Kop, Marnix P. M., Marcelissen, Tom, Zondervan, Patricia, Jager, Auke, Lambin, Philippe, Woodruff, Henry C
Routine computed tomography (CT) scans often detect a wide range of renal cysts, some of which may be malignant. Early and precise localization of these cysts can significantly aid quantitative image analysis. Current segmentation methods, however, d
Externí odkaz:
http://arxiv.org/abs/2408.03789
Autor:
Zhong, Xian, Salahuddin, Zohaib, Chen, Yi, Woodruff, Henry C, Long, Haiyi, Peng, Jianyun, Udawatte, Nuwan, Casale, Roberto, Mokhtari, Ayoub, Zhang, Xiaoer, Huang, Jiayao, Wu, Qingyu, Tan, Li, Chen, Lili, Li, Dongming, Xie, Xiaoyan, Lin, Manxia, Lambin, Philippe
Artificial intelligence (AI)-based decision support systems have demonstrated value in predicting post-hepatectomy liver failure (PHLF) in hepatocellular carcinoma (HCC). However, they often lack transparency, and the impact of model explanations on
Externí odkaz:
http://arxiv.org/abs/2408.03771
Publikováno v:
ECCV 2024
Unsupervised 3D keypoints estimation from Point Cloud Data (PCD) is a complex task, even more challenging when an object shape is deforming. As keypoints should be semantically and geometrically consistent across all the 3D frames - each keypoint sho
Externí odkaz:
http://arxiv.org/abs/2408.02291
Autor:
Akbar, Muhammad Azeem, Esposito, Matteo, Hyrynsalmi, Sami, Kumar, Karthikeyan Dinesh, Lenarduzzi, Valentina, Li, Xiaozhou, Mehraj, Ali, Mikkonen, Tommi, Moreschini, Sergio, Mäkitalo, Niko, Oivo, Markku, Paavonen, Anna-Sofia, Parveen, Risha, Smolander, Kari, Su, Ruoyu, Systä, Kari, Taibi, Davide, Yang, Nan, Zhang, Zheying, Zohaib, Muhammad
In the era of 6G, developing and managing software requires cutting-edge software engineering (SE) theories and practices tailored for such complexity across a vast number of connected edge devices. Our project aims to lead the development of sustain
Externí odkaz:
http://arxiv.org/abs/2407.05963