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Autor:
Shoham, Lishai, Silber, Itai, Tuvia, Gal, Baskin, Maria, Hwang, Soo-Yoon, Choi, Si-Young, Han, Myung-Geun, Zhu, Yimei, Yalon, Eilam, Rozenberg, Marcelo J., Dagan, Yoram, Trier, Felix, Kornblum, Lior
The modulation of channel conductance in field-effect transistors (FETs) via metal-oxide-semiconductor (MOS) structures has revolutionized information processing and storage. However, the limitations of silicon-based FETs in electrical switching have
Externí odkaz:
http://arxiv.org/abs/2411.15818
We present a novel OCR-free document understanding framework based on pretrained Multimodal Large Language Models (MLLMs). Our approach employs multi-scale visual features to effectively handle various font sizes within document images. To address th
Externí odkaz:
http://arxiv.org/abs/2411.05254
Autor:
Cordasco, Rachel S.
Publikováno v:
World Literature Today, 2021 Oct 01. 95(4), 90-90.
Externí odkaz:
https://www.jstor.org/stable/10.7588/worllitetoda.95.4.0090
Autor:
Pal, Pratap, Schad, Jonathon L., Vibhakar, Anuradha M., Ojha, Shashank Kumar, Kim, Gi-Yeop, Shenoy, Saurav, Xue, Fei, Rzchowski, Mark S., Bombardi, A., Johnson, Roger D., Choi, Si-Young, Chen, Long-Qing, Ramesh, Ramamoorthy, Radaelli, Paolo G., Eom, Chang-Beom
The single variant spin cycloid and associated antiferromagnetic order in multiferroic BiFeO3 can provide a direct and predictable magnetoelectric coupling to ferroelectric order for deterministic switching, and also a key to fundamental understandin
Externí odkaz:
http://arxiv.org/abs/2410.22447
Autor:
Kim, Jaeyeon, Kwon, Sehyun, Choi, Joo Young, Park, Jongho, Cho, Jaewoong, Lee, Jason D., Ryu, Ernest K.
In-context learning (ICL) describes a language model's ability to generate outputs based on a set of input demonstrations and a subsequent query. To understand this remarkable capability, researchers have studied simplified, stylized models. These st
Externí odkaz:
http://arxiv.org/abs/2410.05448
Environmental hazards place certain individuals at disproportionately higher risks. As these hazards increasingly endanger human health, precise identification of the most vulnerable population subgroups is critical for public health. Moderated multi
Externí odkaz:
http://arxiv.org/abs/2409.13205
Autor:
Bernárdez, Guillermo, Telyatnikov, Lev, Montagna, Marco, Baccini, Federica, Papillon, Mathilde, Ferriol-Galmés, Miquel, Hajij, Mustafa, Papamarkou, Theodore, Bucarelli, Maria Sofia, Zaghen, Olga, Mathe, Johan, Myers, Audun, Mahan, Scott, Lillemark, Hansen, Vadgama, Sharvaree, Bekkers, Erik, Doster, Tim, Emerson, Tegan, Kvinge, Henry, Agate, Katrina, Ahmed, Nesreen K, Bai, Pengfei, Banf, Michael, Battiloro, Claudio, Beketov, Maxim, Bogdan, Paul, Carrasco, Martin, Cavallo, Andrea, Choi, Yun Young, Dasoulas, George, Elphick, Matouš, Escalona, Giordan, Filipiak, Dominik, Fritze, Halley, Gebhart, Thomas, Gil-Sorribes, Manel, Goomanee, Salvish, Guallar, Victor, Imasheva, Liliya, Irimia, Andrei, Jin, Hongwei, Johnson, Graham, Kanakaris, Nikos, Koloski, Boshko, Kovač, Veljko, Lecha, Manuel, Lee, Minho, Leroy, Pierrick, Long, Theodore, Magai, German, Martinez, Alvaro, Masden, Marissa, Mežnar, Sebastian, Miquel-Oliver, Bertran, Molina, Alexis, Nikitin, Alexander, Nurisso, Marco, Piekenbrock, Matt, Qin, Yu, Rygiel, Patryk, Salatiello, Alessandro, Schattauer, Max, Snopov, Pavel, Suk, Julian, Sánchez, Valentina, Tec, Mauricio, Vaccarino, Francesco, Verhellen, Jonas, Wantiez, Frederic, Weers, Alexander, Zajec, Patrik, Škrlj, Blaž, Miolane, Nina
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM). The challenge focused on the problem
Externí odkaz:
http://arxiv.org/abs/2409.05211
Autor:
Patton, Michael, Pharis, Daniel A., Gurung, Gautam, Huang, Xiaoxi, Noh, Gahee, Tsymbal, Evgeny Y., Choi, Si-Young, Ralph, Daniel C., Rzchowski, Mark S., Eom, Chang-Beom
Unconventional spin-orbit torques arising from electric-field-generated spin currents in anisotropic materials have promising potential for spintronic applications, including for perpendicular magnetic switching in high-density memory applications. H
Externí odkaz:
http://arxiv.org/abs/2408.07198
Publikováno v:
JCAP09(2024)065
We propose a novel and comprehensive particle physics framework that addresses multiple cosmological tensions observed in recent measurements of the Hubble parameter, $S_8$, and Lyman-$\alpha$ forest data. Our model, termed `{\bf SIDR$+\boldsymbol{z_
Externí odkaz:
http://arxiv.org/abs/2408.03004