Zobrazeno 1 - 10
of 388 459
pro vyhledávání: '"A PRASAD"'
Autor:
Prasad, {Rashmi, Vergara, Pedro P., Padhy, Narayana Prasad, Dimitrovski, Robert, Lekić, Aleksandra
Publikováno v:
PESGM 2024
The heterogeneous distribution of frequency support from dispersed renewable generation sources results in varying inertia within the system. The effects of disturbances exhibit non-uniform variations contingent upon the disturbance's location and th
Externí odkaz:
http://arxiv.org/abs/2409.19995
Autor:
Dirza, Risvan, Varadarajan, Hari Prasad, Aas, Vegard, Skogestad, Sigurd, Krishnamoorthy, Dinesh
This paper considers the problem of steady-state real-time optimization (RTO) of interconnected systems with a common constraint that couples several units, for example, a shared resource. Such problems are often studied under the context of distribu
Externí odkaz:
http://arxiv.org/abs/2411.04676
Autor:
Prasad, Archiki, Yuan, Weizhe, Pang, Richard Yuanzhe, Xu, Jing, Fazel-Zarandi, Maryam, Bansal, Mohit, Sukhbaatar, Sainbayar, Weston, Jason, Yu, Jane
Self-alignment, whereby models learn to improve themselves without human annotation, is a rapidly growing research area. However, existing techniques often fail to improve complex reasoning tasks due to the difficulty of assigning correct rewards. An
Externí odkaz:
http://arxiv.org/abs/2411.04109
The scalar spin chirality, which characterizes the fundamental unit of noncoplanar spin structures, plays an important role in rich chiral physics of magnetic materials. In particular, the intensive research efforts over the past two decades have dem
Externí odkaz:
http://arxiv.org/abs/2411.03679
Autor:
Palepu, Anil, Dhillon, Vikram, Niravath, Polly, Weng, Wei-Hung, Prasad, Preethi, Saab, Khaled, Tanno, Ryutaro, Cheng, Yong, Mai, Hanh, Burns, Ethan, Ajmal, Zainub, Kulkarni, Kavita, Mansfield, Philip, Webster, Dale, Barral, Joelle, Gottweis, Juraj, Schaekermann, Mike, Mahdavi, S. Sara, Natarajan, Vivek, Karthikesalingam, Alan, Tu, Tao
Large language models (LLMs) have shown remarkable progress in encoding clinical knowledge and responding to complex medical queries with appropriate clinical reasoning. However, their applicability in subspecialist or complex medical settings remain
Externí odkaz:
http://arxiv.org/abs/2411.03395
In this article we prove that for a closed, not necessarily compact, submanifold $N$ of a possibly non-complete Finsler manifold $(M, F)$, the cut time map is always positive. As a consequence, we prove the existence of a tubular neighborhood of such
Externí odkaz:
http://arxiv.org/abs/2411.01185
Clinical diagnosis of breast malignancy (BM) is a challenging problem in the recent era. In particular, Deep learning (DL) models have continued to offer important solutions for early BM diagnosis but their performance experiences overfitting due to
Externí odkaz:
http://arxiv.org/abs/2411.00254
Autor:
Chang, Matthew, Chhablani, Gunjan, Clegg, Alexander, Cote, Mikael Dallaire, Desai, Ruta, Hlavac, Michal, Karashchuk, Vladimir, Krantz, Jacob, Mottaghi, Roozbeh, Parashar, Priyam, Patki, Siddharth, Prasad, Ishita, Puig, Xavier, Rai, Akshara, Ramrakhya, Ram, Tran, Daniel, Truong, Joanne, Turner, John M., Undersander, Eric, Yang, Tsung-Yen
We present a benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration (PARTNR) designed to study human-robot coordination in household activities. PARTNR tasks exhibit characteristics of everyday tasks, such as spatial, temporal, and h
Externí odkaz:
http://arxiv.org/abs/2411.00081
We investigate how low-quality AI advisors, lacking quality disclosures, can help spread text-based lies while seeming to help people detect lies. Participants in our experiment discern truth from lies by evaluating transcripts from a game show that
Externí odkaz:
http://arxiv.org/abs/2410.23143
Autor:
Sun, Mimi, Kamath, Chaitanya, Agarwal, Mohit, Muslim, Arbaaz, Yee, Hector, Schottlander, David, Bavadekar, Shailesh, Efron, Niv, Shetty, Shravya, Prasad, Gautam
Aggregated relative search frequencies offer a unique composite signal reflecting people's habits, concerns, interests, intents, and general information needs, which are not found in other readily available datasets. Temporal search trends have been
Externí odkaz:
http://arxiv.org/abs/2410.22721