Zobrazeno 1 - 10
of 35 782
pro vyhledávání: '"Alexander, R. A."'
Autor:
Jin, Ik Kyeong, Hillier, Joseph, Liles, Scott D., Wang, Zhanning, Shamim, Aaquib, Vorreiter, Isaac, Li, Ruoyu, Godfrin, Clement, Kubicek, Stefan, De Greve, Kristiaan, Culcer, Dimitrie, Hamilton, Alexander R.
In this work, we probe the sensitivity of hole-spin properties to hole occupation number in a planar silicon double-quantum dot device fabricated on a 300 mm integrated platform. Using DC transport measurements, we investigate the g-tensor and spin-r
Externí odkaz:
http://arxiv.org/abs/2411.06016
Autor:
Qiu, Haoyi, Fabbri, Alexander R., Agarwal, Divyansh, Huang, Kung-Hsiang, Tan, Sarah, Peng, Nanyun, Wu, Chien-Sheng
As large language models (LLMs) expand into performing as agents for real-world applications beyond traditional NLP tasks, evaluating their robustness becomes increasingly important. However, existing benchmarks often overlook critical dimensions lik
Externí odkaz:
http://arxiv.org/abs/2410.23252
Motivated by the simplest case of tt*-Toda equations, we study the large and small $x$ asymptotics for $x>0$ of real solutions of the sinh-Godron Painlev\'e III($D_6$) equation. These solutions are parametrized through the monodromy data of the corre
Externí odkaz:
http://arxiv.org/abs/2410.22440
Autor:
Pruss, Alexander R.
We consider the problem of recovering the position and orientation of a camera equipped with an accelerometer from sensor images of two labeled landmarks whose positions in a coordinate system aligned in a known way with gravity are known. This a var
Externí odkaz:
http://arxiv.org/abs/2410.17997
Autor:
Liu, Yixin, Shi, Kejian, Fabbri, Alexander R., Zhao, Yilun, Wang, Peifeng, Wu, Chien-Sheng, Joty, Shafiq, Cohan, Arman
The automatic evaluation of instruction following typically involves using large language models (LLMs) to assess response quality. However, there is a lack of comprehensive evaluation of these LLM-based evaluators across two dimensions: the base LLM
Externí odkaz:
http://arxiv.org/abs/2410.07069
We consider controlling the paths of a spectrally negative L\'evy process by two means: the subtraction of `taxes' when the process is at an all-time maximum, and the addition of `bailouts' which keep the value of the process above zero. We solve the
Externí odkaz:
http://arxiv.org/abs/2408.16385
Autor:
Valei, Zahra, Wamsler, Karolina, Parker, Alex J., Obara, Therese A., Klotz, Alexander R., Shendruk, Tyler N.
Polymers are a primary building block in many biomaterials, often interacting with anisotropic backgrounds. While previous studies have considered polymer dynamics within nematic solvents, rarely are the the effects of anisotropic viscosity and polym
Externí odkaz:
http://arxiv.org/abs/2408.06533
A growing self-avoiding walk (GSAW) is a walk on a graph that is directed, does not visit the same vertex twice, and has a trapped endpoint. We show that the generating function enumerating GSAWs on a half-infinite strip of finite height is rational,
Externí odkaz:
http://arxiv.org/abs/2407.18205
Autor:
Fiotto-Kaufman, Jaden, Loftus, Alexander R, Todd, Eric, Brinkmann, Jannik, Juang, Caden, Pal, Koyena, Rager, Can, Mueller, Aaron, Marks, Samuel, Sharma, Arnab Sen, Lucchetti, Francesca, Ripa, Michael, Belfki, Adam, Prakash, Nikhil, Multani, Sumeet, Brodley, Carla, Guha, Arjun, Bell, Jonathan, Wallace, Byron, Bau, David
The enormous scale of state-of-the-art foundation models has limited their accessibility to scientists, because customized experiments at large model sizes require costly hardware and complex engineering that is impractical for most researchers. To a
Externí odkaz:
http://arxiv.org/abs/2407.14561
Autor:
Pelletier, Alexander R., Ramirez, Joseph, Adam, Irsyad, Sankar, Simha, Yan, Yu, Wang, Ding, Steinecke, Dylan, Wang, Wei, Ping, Peipei
The vast amount of biomedical information available today presents a significant challenge for investigators seeking to digest, process, and understand these findings effectively. Large Language Models (LLMs) have emerged as powerful tools to navigat
Externí odkaz:
http://arxiv.org/abs/2407.12888