Zobrazeno 1 - 10
of 23 411
pro vyhledávání: '"Ahluwalia, A"'
Autor:
Ahluwalia, Aman, Sutradhar, Bishwajit, Ghosh, Karishma, Yadav, Indrapal, Sheetal, Arpan, Patil, Prashant
This paper addresses the limitations of traditional keyword-based search in understanding user intent and introduces a novel hybrid search approach that leverages the strengths of non-semantic search engines, Large Language Models (LLMs), and embeddi
Externí odkaz:
http://arxiv.org/abs/2408.09236
Autor:
Ahluwalia, Aman, Wani, Suhrud
Large Language Models (LLMs) demonstrate remarkable capabilities in replicating human tasks and boosting productivity. However, their direct application for data extraction presents limitations due to a prioritisation of fluency over factual accuracy
Externí odkaz:
http://arxiv.org/abs/2406.08246
Autor:
Jayawardana, Yasith, Ahmad, Azeem, Ahluwalia, Balpreet S., Ahmad, Rafi, Jayarathna, Sampath, Wadduwage, Dushan N.
Predictions of opaque black-box systems are frequently deployed in high-stakes applications such as healthcare. For such applications, it is crucial to assess how models handle samples beyond the domain of training data. While several metrics and tes
Externí odkaz:
http://arxiv.org/abs/2403.14058
Autor:
Ahluwalia, Dharam Vir, de Gracia, G. B., da Silva, Julio M. Hoff, Lee, Cheng-Yang, Pimentel, B. M.
Not all complete set of spinors can be used as expansion coefficients of a quantum field. In fact, Steven Weinberg established the uniqueness of Dirac spinors for this purpose provided: (a) one paid due attention to the multiplicative phases for each
Externí odkaz:
http://arxiv.org/abs/2312.17038
Autor:
Sebastian, Thomas, Ahluwalia, Aman
Publikováno v:
Foundations of Indian Contract Law.
Externí odkaz:
https://doi.org/10.1093/9780191997211.003.0011
Autor:
Heming, Carolina A. M., Abdalla, Mohamed, Mohanna, Shahram, Ahluwalia, Monish, Zhang, Linglin, Trivedi, Hari, Woo, MinJae, Fine, Benjamin, Gichoya, Judy Wawira, Celi, Leo Anthony, Seyyed-Kalantari, Laleh
Clinical AI model reporting cards should be expanded to incorporate a broad bias reporting of both social and non-social factors. Non-social factors consider the role of other factors, such as disease dependent, anatomic, or instrument factors on AI
Externí odkaz:
http://arxiv.org/abs/2311.12560
Graph Neural Networks (GNNs) have proven to be quite versatile for a variety of applications, including recommendation systems, fake news detection, drug discovery, and even computer vision. Due to the expanding size of graph-structured data, GNN mod
Externí odkaz:
http://arxiv.org/abs/2310.15938
Autor:
Qin, Hong, Kong, Jude, Ding, Wandi, Ahluwalia, Ramneek, Morr, Christo El, Engin, Zeynep, Effoduh, Jake Okechukwu, Hwa, Rebecca, Guo, Serena Jingchuan, Seyyed-Kalantari, Laleh, Muyingo, Sylvia Kiwuwa, Moore, Candace Makeda, Parikh, Ravi, Schwartz, Reva, Zhu, Dongxiao, Wang, Xiaoqian, Zhang, Yiye
Artificial intelligence (AI) can potentially transform global health, but algorithmic bias can exacerbate social inequities and disparity. Trustworthy AI entails the intentional design to ensure equity and mitigate potential biases. To advance trustw
Externí odkaz:
http://arxiv.org/abs/2309.05088
Publikováno v:
The Vulnerable Consumer
Autor:
Gurpremjit Singh, Mayank Agrawal, Gagandeep Talwar, Sanket Kankaria, Gopal Sharma, Puneet Ahluwalia, Gagan Gautam
Publikováno v:
Indian Journal of Urology, Vol 40, Iss 4, Pp 260-265 (2024)
Introduction This study aimed to evaluate the usefulness of machine learning (ML) and neural network (NN) models versus traditional statistical methods for estimating biochemical recurrence (BCR) in men following robot-assisted radical prostatectomy
Externí odkaz:
https://doaj.org/article/e50c22ffbe9d4afdad94379649d0444d