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pro vyhledávání: '"P, Saranya"'
The research explores a novel mathematical model for closed loop insulin delivery systems, featuring a glucose sensitive membrane. It employs a sophisticated framework of nonlinear reaction diffusion equations and enzyme kinetics. Central to the stud
Externí odkaz:
http://arxiv.org/abs/2411.09805
Supramolecular gels are formed by the self-assembly of low molecular weight organic gelators with their solvent molecules. These are emerging novel materials with good semiconducting and light emitting properties with application potential as hole an
Externí odkaz:
http://arxiv.org/abs/2411.07769
Autor:
Artemova, Ekaterina, Lucas, Jason, Venkatraman, Saranya, Lee, Jooyoung, Tilga, Sergei, Uchendu, Adaku, Mikhailov, Vladislav
The rapid proliferation of large language models (LLMs) has increased the volume of machine-generated texts (MGTs) and blurred text authorship in various domains. However, most existing MGT benchmarks include single-author texts (human-written and ma
Externí odkaz:
http://arxiv.org/abs/2411.04032
Autor:
P., Saranya, M, Sunoj S.
This article introduces novel measures of inaccuracy and divergence based on survival extropy and their dynamic forms and explores their properties and applications. To address the drawbacks of asymmetry and range limitations, we introduce two measur
Externí odkaz:
http://arxiv.org/abs/2410.22747
Autor:
Kumar, Priyanshu, Lau, Elaine, Vijayakumar, Saranya, Trinh, Tu, Team, Scale Red, Chang, Elaine, Robinson, Vaughn, Hendryx, Sean, Zhou, Shuyan, Fredrikson, Matt, Yue, Summer, Wang, Zifan
For safety reasons, large language models (LLMs) are trained to refuse harmful user instructions, such as assisting dangerous activities. We study an open question in this work: does the desired safety refusal, typically enforced in chat contexts, ge
Externí odkaz:
http://arxiv.org/abs/2410.13886
Autor:
Palumbo, Nils, Mangal, Ravi, Wang, Zifan, Vijayakumar, Saranya, Pasareanu, Corina S., Jha, Somesh
Mechanistic interpretability aims to reverse engineer the computation performed by a neural network in terms of its internal components. Although there is a growing body of research on mechanistic interpretation of neural networks, the notion of a me
Externí odkaz:
http://arxiv.org/abs/2407.13594
The rise of unifying frameworks that enable seamless interoperability of Large Language Models (LLMs) has made LLM-LLM collaboration for open-ended tasks a possibility. Despite this, there have not been efforts to explore such collaborative writing.
Externí odkaz:
http://arxiv.org/abs/2406.12665
Electronic health records (EHR) even though a boon for healthcare practitioners, are growing convoluted and longer every day. Sifting around these lengthy EHRs is taxing and becomes a cumbersome part of physician-patient interaction. Several approach
Externí odkaz:
http://arxiv.org/abs/2404.16294
Autor:
Javed, Tahir, Nawale, Janki Atul, George, Eldho Ittan, Joshi, Sakshi, Bhogale, Kaushal Santosh, Mehendale, Deovrat, Sethi, Ishvinder Virender, Ananthanarayanan, Aparna, Faquih, Hafsah, Palit, Pratiti, Ravishankar, Sneha, Sukumaran, Saranya, Panchagnula, Tripura, Murali, Sunjay, Gandhi, Kunal Sharad, R, Ambujavalli, M, Manickam K, Vaijayanthi, C Venkata, Karunganni, Krishnan Srinivasa Raghavan, Kumar, Pratyush, Khapra, Mitesh M
We present INDICVOICES, a dataset of natural and spontaneous speech containing a total of 7348 hours of read (9%), extempore (74%) and conversational (17%) audio from 16237 speakers covering 145 Indian districts and 22 languages. Of these 7348 hours,
Externí odkaz:
http://arxiv.org/abs/2403.01926
Autor:
Ngoon, Tricia J., Sushil, S, Stewart, Angela, Lee, Ung-Sang, Venkatraman, Saranya, Thawani, Neil, Mitra, Prasenjit, Clarke, Sherice, Zimmerman, John, Ogan, Amy
Teaching is one of many professions for which personalized feedback and reflection can help improve dialogue and discussion between the professional and those they serve. However, professional development (PD) is often impersonal as human observation
Externí odkaz:
http://arxiv.org/abs/2403.00954