Zobrazeno 1 - 10
of 9 895
pro vyhledávání: '"Venugopalan, A."'
An important tool in studying the sub-femtoscale spacetime structure of matter in ultrarelativistic heavy-ion collisions is Hanbury-Brown-Twiss (HBT) intensity interferometry of identical particles in the final state of such collisions. We show here
Externí odkaz:
http://arxiv.org/abs/2407.15945
Autor:
Hardy, Andrew, Mukhopadhyay, Priyanka, Alam, M. Sohaib, Konik, Robert, Hormozi, Layla, Rieffel, Eleanor, Hadfield, Stuart, Barata, João, Venugopalan, Raju, Kharzeev, Dmitri E., Wiebe, Nathan
We provide practical simulation methods for scalar field theories on a quantum computer that yield improved asymptotics as well as concrete gate estimates for the simulation and physical qubit estimates using the surface code. We achieve these improv
Externí odkaz:
http://arxiv.org/abs/2407.13819
Seeking answers to questions within long scientific research articles is a crucial area of study that aids readers in quickly addressing their inquiries. However, existing question-answering (QA) datasets based on scientific papers are limited in sca
Externí odkaz:
http://arxiv.org/abs/2407.09413
Autor:
Venugopalan, Hari, Vijayanand, Shreyas Madhav Ambattur, Stanford, Caleb, Crossen, Stephanie, King, Samuel T.
We present GlucOS, a novel system for trustworthy automated insulin delivery. Fundamentally, this paper is about a system we designed, implemented, and deployed on real humans and the lessons learned from our experiences. GlucOS combines algorithmic
Externí odkaz:
http://arxiv.org/abs/2406.18262
Autor:
Raj, Himanshu, Venugopalan, Raju
In recent work, we demonstrated a double-copy relation between inclusive gluon radiation in shock wave collisions of ultrarelativistic nuclei and inclusive graviton radiation in trans-Planckian gravitational shock wave collisions. We compute here the
Externí odkaz:
http://arxiv.org/abs/2406.10483
Autor:
Venugopalan, Hari, Munir, Shaoor, Ahmed, Shuaib, Wang, Tangbaihe, King, Samuel T., Shafiq, Zubair
As browser fingerprinting is increasingly being used for bot detection, bots have started altering their fingerprints for evasion. We conduct the first large-scale evaluation of evasive bots to investigate whether and how altering fingerprints helps
Externí odkaz:
http://arxiv.org/abs/2406.07647
Autor:
Lee, Mina, Gero, Katy Ilonka, Chung, John Joon Young, Shum, Simon Buckingham, Raheja, Vipul, Shen, Hua, Venugopalan, Subhashini, Wambsganss, Thiemo, Zhou, David, Alghamdi, Emad A., August, Tal, Bhat, Avinash, Choksi, Madiha Zahrah, Dutta, Senjuti, Guo, Jin L. C., Hoque, Md Naimul, Kim, Yewon, Knight, Simon, Neshaei, Seyed Parsa, Sergeyuk, Agnia, Shibani, Antonette, Shrivastava, Disha, Shroff, Lila, Stark, Jessi, Sterman, Sarah, Wang, Sitong, Bosselut, Antoine, Buschek, Daniel, Chang, Joseph Chee, Chen, Sherol, Kreminski, Max, Park, Joonsuk, Pea, Roy, Rho, Eugenia H., Shen, Shannon Zejiang, Siangliulue, Pao
In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various research communities. We seek to address this challenge by proposing a design space as a structured way to
Externí odkaz:
http://arxiv.org/abs/2403.14117
Autor:
Pan, Haining, Mudur, Nayantara, Taranto, Will, Tikhanovskaya, Maria, Venugopalan, Subhashini, Bahri, Yasaman, Brenner, Michael P., Kim, Eun-Ah
Large language models (LLMs) have demonstrated an unprecedented ability to perform complex tasks in multiple domains, including mathematical and scientific reasoning. We demonstrate that with carefully designed prompts, LLMs can accurately carry out
Externí odkaz:
http://arxiv.org/abs/2403.03154
Autor:
Wang, Ruofan, Prabhakar, Prakruthi, Srivastava, Gaurav, Wang, Tianqi, Jalali, Zeinab S., Bharill, Varun, Ouyang, Yunbo, Nigam, Aastha, Venugopalan, Divya, Gupta, Aman, Borisyuk, Fedor, Keerthi, Sathiya, Muralidharan, Ajith
In the realm of recommender systems, the ubiquitous adoption of deep neural networks has emerged as a dominant paradigm for modeling diverse business objectives. As user bases continue to expand, the necessity of personalization and frequent model up
Externí odkaz:
http://arxiv.org/abs/2403.00803
Abbreviation expansion is a strategy used to speed up communication by limiting the amount of typing and using a language model to suggest expansions. Here we look at personalizing a Large Language Model's (LLM) suggestions based on prior conversatio
Externí odkaz:
http://arxiv.org/abs/2312.14327