Zobrazeno 1 - 10
of 390
pro vyhledávání: '"Nainani, A."'
Mechanistic interpretability aims to understand the inner workings of large neural networks by identifying circuits, or minimal subgraphs within the model that implement algorithms responsible for performing specific tasks. These circuits are typical
Externí odkaz:
http://arxiv.org/abs/2411.16105
Autor:
Atmakuru, Anirudh, Nainani, Jatin, Bheemreddy, Rohith Siddhartha Reddy, Lakkaraju, Anirudh, Yao, Zonghai, Zamani, Hamed, Chang, Haw-Shiuan
Evaluating the creativity of large language models (LLMs) in story writing is difficult because LLM-generated stories could seemingly look creative but be very similar to some existing stories in their huge and proprietary training corpus. To overcom
Externí odkaz:
http://arxiv.org/abs/2410.04197
Autor:
Nainani, Jatin
Large Language Models (LLMs) have experienced a rapid rise in AI, changing a wide range of applications with their advanced capabilities. As these models become increasingly integral to decision-making, the need for thorough interpretability has neve
Externí odkaz:
http://arxiv.org/abs/2401.03646
The problem of organizing and finding images in a user's directory has become increasingly challenging due to the rapid growth in the number of images captured on personal devices. This paper presents a solution that utilizes zero shot learning to cr
Externí odkaz:
http://arxiv.org/abs/2305.00715
For a long time predicting, studying and analyzing financial indices has been of major interest for the financial community. Recently, there has been a growing interest in the Deep-Learning community to make use of reinforcement learning which has su
Externí odkaz:
http://arxiv.org/abs/2209.12664
Autor:
Arefin, Mohammed Rafi, Prouse, Carolyn, Wittmer, Josie, Amin, Nuhu, Assunção, Monique, Benezra, Amber, Chaudhuri, Angela, Diamond, Megan, Harshe, Shirish, Hill-Tout, Kimberly, Koetz, Vanessa, Larsen, David, Mansfeldt, Cresten, Melgaço, Lucas, Nainani, Dhiraj, Nair, Amrita V., Naughton, Colleen C., O'Donnell, Margaret, Reimer, Christopher, Robinson, Pamela, Shelley, Jacob, Srikantalah, Vishwanath
Publikováno v:
In Water Research 1 January 2025 268 Part B
Publikováno v:
In Water Research 1 July 2024 258
Autor:
Mats Leifels, Omar Khalilur Rahman, I-Ching Sam, Dan Cheng, Feng Jun Desmond Chua, Dhiraj Nainani, Se Yeon Kim, Wei Jie Ng, Wee Chiew Kwok, Kwanrawee Sirikanchana, Stefan Wuertz, Janelle Thompson, Yoke Fun Chan
Publikováno v:
ISME Communications, Vol 2, Iss 1, Pp 1-9 (2022)
Abstract The human population has doubled in the last 50 years from about 3.7 billion to approximately 7.8 billion. With this rapid expansion, more people live in close contact with wildlife, livestock, and pets, which in turn creates increasing oppo
Externí odkaz:
https://doaj.org/article/8fb409bb3b5e47439aa4712779e409bd
Publikováno v:
Family Practice; Oct2024, Vol. 41 Issue 5, p851-856, 6p
FinFET technology is prone to suffer from Line Edge Roughness (LER) based VT variation with scaling. To address this, we proposed an Epitaxially Defined (ED) FinFET (EDFinFET) as an alternate to FinFET architecture for 10 nm node and beyond. We showe
Externí odkaz:
http://arxiv.org/abs/1604.04454