Zobrazeno 1 - 10
of 13 793
pro vyhledávání: '"SUNDAR, P."'
Visual anomaly detection targets to detect images that notably differ from normal pattern, and it has found extensive application in identifying defective parts within the manufacturing industry. These anomaly detection paradigms predominantly focus
Externí odkaz:
http://arxiv.org/abs/2411.09558
Autor:
Richardson, Christopher, Sharma, Roshan, Gaur, Neeraj, Haghani, Parisa, Sundar, Anirudh, Ramabhadran, Bhuvana
Zero-shot domain adaptation for dialogue state tracking (DST) remains a challenging problem in task-oriented dialogue (TOD) systems, where models must generalize to target domains unseen at training time. Current large language model approaches for z
Externí odkaz:
http://arxiv.org/abs/2411.00150
In-situ Study of Understanding the Resistive Switching Mechanisms of Nitride-based Memristor Devices
Autor:
Zhang, Di, Dhall, Rohan, Schneider, Matthew M., Song, Chengyu, Dou, Hongyi, Kunwar, Sundar, Yazzie, Natanii R., Ciston, Jim, Cucciniello, Nicholas G., Roy, Pinku, Pettes, Michael T., Watt, John, Kuo, Winson, Wang, Haiyan, McCabe, Rodney J., Chen, Aiping
Interface-type resistive switching (RS) devices with lower operation current and more reliable switching repeatability exhibits great potential in the applications for data storage devices and ultra-low-energy computing. However, the working mechanis
Externí odkaz:
http://arxiv.org/abs/2410.23185
The time evolution of moderately dense gas evolving in vacuum described by the Boltzmann-Enskog equation is studied. The associated stochastic process, the Boltzmann-Enskog process, was constructed by Albeverio, R\"udiger and Sundar (2017) and furthe
Externí odkaz:
http://arxiv.org/abs/2410.21528
Autor:
Wang, Xinyu, Zhang, Wenbo, Koneru, Sai, Guo, Hangzhi, Mingole, Bonam, Sundar, S. Shyam, Rajtmajer, Sarah, Yadav, Amulya
With the rise of AI-generated content spewed at scale from large language models (LLMs), genuine concerns about the spread of fake news have intensified. The perceived ability of LLMs to produce convincing fake news at scale poses new challenges for
Externí odkaz:
http://arxiv.org/abs/2410.19250
Autor:
Srinivasan, Shriram, Sundar, Kaarthik
Potential-driven steady-state flow in networks is an abstract problem which manifests in various engineering applications, such as transport of natural gas, water, electric power through infrastructure networks or flow through fractured rocks modeled
Externí odkaz:
http://arxiv.org/abs/2410.19850
The analysis of non-local regularisations of scalar conservation laws is an active research program. Applications of such equations are found in the modelling of physical phenomena such as traffic flow. In this paper, we propose a novel inviscid, non
Externí odkaz:
http://arxiv.org/abs/2410.16743
Autor:
Guo, Hangzhi, Venkit, Pranav Narayanan, Jang, Eunchae, Srinath, Mukund, Zhang, Wenbo, Mingole, Bonam, Gupta, Vipul, Varshney, Kush R., Sundar, S. Shyam, Yadav, Amulya
The widespread adoption of large language models (LLMs) and generative AI (GenAI) tools across diverse applications has amplified the importance of addressing societal biases inherent within these technologies. While the NLP community has extensively
Externí odkaz:
http://arxiv.org/abs/2410.15467
The shallow water equations are numerically solved to simulate free surface flows. The convective flux terms in the shallow water equations need to be discretized using a Riemann solver to capture shocks and discontinuity for certain flow situations
Externí odkaz:
http://arxiv.org/abs/2410.05968
Constrained optimization problems arise in various engineering system operations such as inventory management and electric power grids. However, the requirement to repeatedly solve such optimization problems with uncertain parameters poses a signific
Externí odkaz:
http://arxiv.org/abs/2410.03085