Zobrazeno 1 - 10
of 12 623
pro vyhledávání: '"Ackerman P"'
Digital media platforms (e.g., social media, science blogs) offer opportunities to communicate scientific content to general audiences at scale. However, these audiences vary in their scientific expertise, literacy levels, and personal backgrounds, m
Externí odkaz:
http://arxiv.org/abs/2411.09969
Autor:
Fu, ZhuangEn, Huang, Hong-Fei, Samarawickrama, Piumi, Watanabe, Kenji, Taniguchi, Takashi, Wang, Wenyong, Ackerman, John, Zang, Jiadong, Yu, Jie-Xiang, Tian, Jifa
Publikováno v:
Adv. Physics Res. 2024, 3, 2400052
Two-dimensional (2D) van der Waals (vdW) magnets with layer-dependent magnetic states and/or diverse magnetic interactions and anisotropies have attracted extensive research interest. Despite the advances, a notable challenge persists in effectively
Externí odkaz:
http://arxiv.org/abs/2410.18428
Autor:
Fu, ZhuangEn, Samarawickrama, Piumi I., Ackerman, John, Zhu, Yanglin, Mao, Zhiqiang, Watanabe, Kenji, Taniguchi, Takashi, Wang, Wenyong, Dahnovsky, Yuri, Wu, Mingzhong, Chien, TeYu, Tang, Jinke, MacDonald, Allan H., Chen, Hua, Tian, Jifa
Publikováno v:
Nature Communications 15 (2024) 3630
Effective control of magnetic phases in two-dimensional magnets would constitute crucial progress in spintronics, holding great potential for future computing technologies. Here, we report a new approach of leveraging tunneling current as a tool for
Externí odkaz:
http://arxiv.org/abs/2410.19255
It has been reported that LLMs can recognize their own writing. As this has potential implications for AI safety, yet is relatively understudied, we investigate the phenomenon, seeking to establish whether it robustly occurs at the behavioral level,
Externí odkaz:
http://arxiv.org/abs/2410.02064
Autor:
Ackerman, Christopher M.
Activation engineering is becoming increasingly popular as a means of online control of large language models (LLMs). In this work, we extend the idea of inference-time steering with vectors that represent a behavioral direction of interest to tuning
Externí odkaz:
http://arxiv.org/abs/2409.06927
Neuroimaging studies, such as the Human Connectome Project (HCP), often collect multi-faceted and multi-block data to study the complex human brain. However, these data are often analyzed in a pairwise fashion, which can hinder our understanding of h
Externí odkaz:
http://arxiv.org/abs/2408.16791
Autor:
Diepeveen, N. A., Pereira, C. Robalo, Mazzanti, M., Ackerman, Z. E. D., Gallagher, L. P. H., Timmerman, T., Gerritsma, R., Schüssler, R. X.
We present spectroscopic data for four metastable state clear-out transitions between 399 nm and 412 nm for all even long-lived isotopes of Yb$^+$ as well as their hyperfine structure in $^{171}$Yb$^+$. The strong $^2 \rm{D}_{3/2} \rightarrow {}^1[1/
Externí odkaz:
http://arxiv.org/abs/2408.07380
Autor:
Patton, William, Rhoades, Jeff L., Zouinkhi, Marwan, Ackerman, David G., Malin-Mayor, Caroline, Adjavon, Diane, Heinrich, Larissa, Bennett, Davis, Zubov, Yurii, Team, CellMap Project, Weigel, Aubrey V., Funke, Jan
DaCapo is a specialized deep learning library tailored to expedite the training and application of existing machine learning approaches on large, near-isotropic image data. In this correspondence, we introduce DaCapo's unique features optimized for t
Externí odkaz:
http://arxiv.org/abs/2408.02834
We evaluate the robustness of several large language models on multiple datasets. Robustness here refers to the relative insensitivity of the model's answers to meaning-preserving variants of their input. Benchmark datasets are constructed by introdu
Externí odkaz:
http://arxiv.org/abs/2408.01963
Autor:
Doerfler, Periwinkle, Turk, Kieron Ivy, Geeng, Chris, McCoy, Damon, Ackerman, Jeffrey, Dragiewicz, Molly
In this work, we analyze two large-scale surveys to examine how individuals think about sharing smartphone access with romantic partners as a function of trust in relationships. We find that the majority of couples have access to each others' devices
Externí odkaz:
http://arxiv.org/abs/2407.04906