Zobrazeno 1 - 10
of 44 648
pro vyhledávání: '"An, Zaid"'
During the past decade, Deep Neural Networks (DNNs) proved their value on a large variety of subjects. However despite their high value and public accessibility, the protection of the intellectual property of DNNs is still an issue and an emerging re
Externí odkaz:
http://arxiv.org/abs/2411.10174
All-dielectric metasurfaces can produce structural colors, but the most advantageous design criteria are still being investigated. This work numerically studies how the two-dimensional shape of nanoparticles affects the colorimetric response under ci
Externí odkaz:
http://arxiv.org/abs/2411.05984
Surgical scene segmentation is essential for enhancing surgical precision, yet it is frequently compromised by the scarcity and imbalance of available data. To address these challenges, semantic image synthesis methods based on generative adversarial
Externí odkaz:
http://arxiv.org/abs/2410.23962
Autor:
Pieler, Michael, Bellagente, Marco, Teufel, Hannah, Phung, Duy, Cooper, Nathan, Tow, Jonathan, Rocha, Paulo, Adithyan, Reshinth, Alyafeai, Zaid, Pinnaparaju, Nikhil, Zhuravinskyi, Maksym, Riquelme, Carlos
Recently published work on rephrasing natural text data for pre-training LLMs has shown promising results when combining the original dataset with the synthetically rephrased data. We build upon previous work by replicating existing results on C4 and
Externí odkaz:
http://arxiv.org/abs/2410.20796
The rise of social media and short-form video (SFV) has facilitated a breeding ground for misinformation. With the emergence of large language models, significant research has gone into curbing this misinformation problem with automatic false claim d
Externí odkaz:
http://arxiv.org/abs/2410.16592
Autor:
Zaz, M Zaid, Chin, Wai Kiat, Viswan, Gauthami, Subedi, Arjun, Mishra, Esha, McElveen, Kayleigh A, Tamang, Binny, Shapiro, David, NDiaye, Alpha T, Lai, Rebecca Y, Dowben, Peter A
Evidence of chirality was observed at the Fe metal center in Fe(III) spin crossover coordination salts [Fe(qsal)2][ Ni(dmit)2] and [Fe(qsal)2](TCNQ)2 from X-ray absorption spectroscopy at the Fe 2p3/2 core threshold. This indicates the formation of c
Externí odkaz:
http://arxiv.org/abs/2410.07479
The process of creating training data to teach models is currently driven by humans, who manually analyze model weaknesses and plan how to create data that improves a student model. Recent approaches using LLMs as annotators reduce human effort, but
Externí odkaz:
http://arxiv.org/abs/2410.06215
Image restoration and spectral reconstruction are longstanding computer vision tasks. Currently, CNN-transformer hybrid models provide state-of-the-art performance for these tasks. The key common ingredient in the architectural designs of these model
Externí odkaz:
http://arxiv.org/abs/2410.00380
Crack detection, particularly from pavement images, presents a formidable challenge in the domain of computer vision due to several inherent complexities such as intensity inhomogeneity, intricate topologies, low contrast, and noisy backgrounds. Auto
Externí odkaz:
http://arxiv.org/abs/2409.18099
Autor:
Cornacchia, Giandomenico, Zizzo, Giulio, Fraser, Kieran, Hameed, Muhammad Zaid, Rawat, Ambrish, Purcell, Mark
The proliferation of Large Language Models (LLMs) in diverse applications underscores the pressing need for robust security measures to thwart potential jailbreak attacks. These attacks exploit vulnerabilities within LLMs, endanger data integrity and
Externí odkaz:
http://arxiv.org/abs/2409.17699