Zobrazeno 1 - 10
of 35 151
pro vyhledávání: '"A. P. Priya"'
Autor:
Aswani, Krishna, Lu, Huilin, Patankar, Pranav, Dhalwani, Priya, Tan, Iris, Ganeshmohan, Jayant, Lacasse, Simon
Recent advancements in prompt engineering strategies, such as Chain-of-Thought (CoT) and Self-Discover, have demonstrated significant potential in improving the reasoning abilities of Large Language Models (LLMs). However, these state-of-the-art (SOT
Externí odkaz:
http://arxiv.org/abs/2410.06328
Many fields of science, including Human-Computer Interaction (HCI), have heightened introspection in the wake of concerns around reproducibility and replicability of published findings. Notably, in recent years the HCI community has worked to impleme
Externí odkaz:
http://arxiv.org/abs/2410.04286
In recent years, various materials have been developed to reduce the reliance of industries on Indium, a primary component of transparent conducting oxides (TCOs) used in the current generation of devices. The leading candidates for indium free TCOs
Externí odkaz:
http://arxiv.org/abs/2410.03301
We introduce homological measurement, a framework for measuring the logical Pauli operators encoded in CSS stabilizer codes. The framework is based on the algebraic description of such codes as chain complexes. Protocols such as lattice surgery some
Externí odkaz:
http://arxiv.org/abs/2410.02753
Autor:
Singh, Priya, Robertson, Islay O., Scholten, Sam C., Healey, Alexander J., Abe, Hiroshi, Ohshima, Takeshi, Tan, Hark Hoe, Kianinia, Mehran, Aharonovich, Igor, Broadway, David A., Reineck, Philipp, Tetienne, Jean-Philippe
Optically addressable solid-state spins are an important platform for practical quantum technologies. Van der Waals material hexagonal boron nitride (hBN) is a promising host as it contains a wide variety of optical emitters, but thus far observation
Externí odkaz:
http://arxiv.org/abs/2409.20186
Autor:
Inala, Jeevana Priya, Wang, Chenglong, Drucker, Steven, Ramos, Gonzalo, Dibia, Victor, Riche, Nathalie, Brown, Dave, Marshall, Dan, Gao, Jianfeng
This paper explores the potential of AI-powered tools to reshape data analysis, focusing on design considerations and challenges. We explore how the emergence of large language and multimodal models offers new opportunities to enhance various stages
Externí odkaz:
http://arxiv.org/abs/2409.18475
We present a new approach to bootstrapping string-like theories by exploiting a local crossing symmetric dispersion relation and field redefinition ambiguities. This approach enables us to use mass-level truncation and to go beyond the dual resonance
Externí odkaz:
http://arxiv.org/abs/2409.18259
Chalcogenide perovskites (CPs) have sparked interest as promising optoelectronic materials due to their stability, nontoxicity, small bandgaps, large absorption coefficients, and high defect tolerance. Here, using state-of-the-art first-principles-ba
Externí odkaz:
http://arxiv.org/abs/2409.16657
Autor:
Gandhi, Yash, Zheng, Kexin, Jha, Birendra, Nomura, Ken-ichi, Nakano, Aiichiro, Vashishta, Priya, Kalia, Rajiv K.
Forecasting oil production from oilfields with multiple wells is an important problem in petroleum and geothermal energy extraction, as well as energy storage technologies. The accuracy of oil forecasts is a critical determinant of economic projectio
Externí odkaz:
http://arxiv.org/abs/2409.16482
Autor:
Huang, Junjie, Guo, Daya, Wang, Chenglong, Gu, Jiazhen, Lu, Shuai, Inala, Jeevana Priya, Yan, Cong, Gao, Jianfeng, Duan, Nan, Lyu, Michael R.
Data wrangling, the process of preparing raw data for further analysis in computational notebooks, is a crucial yet time-consuming step in data science. Code generation has the potential to automate the data wrangling process to reduce analysts' over
Externí odkaz:
http://arxiv.org/abs/2409.13551