Zobrazeno 41 - 50
of 69 767
pro vyhledávání: '"P, Ramesh"'
High Level Synthesis (HLS) tools offer rapid hardware design from C code, but their compatibility is limited by code constructs. This paper investigates Large Language Models (LLMs) for refactoring C code into HLS-compatible formats. We present sever
Externí odkaz:
http://arxiv.org/abs/2406.09233
Autor:
Bhavi, Ramesh S., Sudarsanan, Sivakumar, Raghunathan, Manikandan, Bhaskaran, Anaswara, Sujith, R. I.
A sudden transition to a state of high amplitude limit cycle oscillations is catastrophic in a thermo-fluid system. Conventionally, upon varying the control parameter, a sudden transition is observed as an abrupt jump in the amplitude of the fluctuat
Externí odkaz:
http://arxiv.org/abs/2406.08599
Sharding is proposed to enhance blockchain scalability. However, a size-security dilemma where every shard must be large enough to ensure its security constrains the efficacy of individual shards and the degree of sharding itself. Most existing shard
Externí odkaz:
http://arxiv.org/abs/2406.08252
The electronic, structural, optical, and thermoelectric properties of the Cs2O cubic structure have been investigated using density functional theory (DFT). The calculations utilize a full relativistic version of the full-potential augmented plane-wa
Externí odkaz:
http://arxiv.org/abs/2406.05831
Autor:
Shao, Minghao, Jancheska, Sofija, Udeshi, Meet, Dolan-Gavitt, Brendan, Xi, Haoran, Milner, Kimberly, Chen, Boyuan, Yin, Max, Garg, Siddharth, Krishnamurthy, Prashanth, Khorrami, Farshad, Karri, Ramesh, Shafique, Muhammad
Large Language Models (LLMs) are being deployed across various domains today. However, their capacity to solve Capture the Flag (CTF) challenges in cybersecurity has not been thoroughly evaluated. To address this, we develop a novel method to assess
Externí odkaz:
http://arxiv.org/abs/2406.05590
Decentralized data markets can provide more equitable forms of data acquisition for machine learning. However, to realize practical marketplaces, efficient techniques for seller selection need to be developed. We propose and benchmark federated data
Externí odkaz:
http://arxiv.org/abs/2406.04257
A graph $G = (V, E)$ is said to be word-representable if a word $w$ can be formed using the letters of the alphabet $V$ such that for every pair of vertices $x$ and $y$, $xy \in E$ if and only if $x$ and $y$ alternate in $w$. A \textit{semi-transitiv
Externí odkaz:
http://arxiv.org/abs/2406.03168
Autor:
Subramanian, Anand, Schlegel, Viktor, Kashyap, Abhinav Ramesh, Nguyen, Thanh-Tung, Dwivedi, Vijay Prakash, Winkler, Stefan
There is vivid research on adapting Large Language Models (LLMs) to perform a variety of tasks in high-stakes domains such as healthcare. Despite their popularity, there is a lack of understanding of the extent and contributing factors that allow LLM
Externí odkaz:
http://arxiv.org/abs/2406.03699
Autor:
Sipani, Vinay, Kasilingam, Ramesh
Given a scale parameter $r>0$, the Vietoris-Rips complex of $X \subset \mathbb{R}^2$ (referred to as planar-Rips complex) under the usual Euclidean metric is a (finite) simplicial complex whose simplices are subsets of $X$ with diameter at most $r$.
Externí odkaz:
http://arxiv.org/abs/2406.01082
Autor:
Draguns, Andis, Gritsevskiy, Andrew, Motwani, Sumeet Ramesh, Rogers-Smith, Charlie, Ladish, Jeffrey, de Witt, Christian Schroeder
The rapid proliferation of open-source language models significantly increases the risks of downstream backdoor attacks. These backdoors can introduce dangerous behaviours during model deployment and can evade detection by conventional cybersecurity
Externí odkaz:
http://arxiv.org/abs/2406.02619