Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Padnos, Dan"'
Autor:
Jamba Team, Lenz, Barak, Arazi, Alan, Bergman, Amir, Manevich, Avshalom, Peleg, Barak, Aviram, Ben, Almagor, Chen, Fridman, Clara, Padnos, Dan, Gissin, Daniel, Jannai, Daniel, Muhlgay, Dor, Zimberg, Dor, Gerber, Edden M, Dolev, Elad, Krakovsky, Eran, Safahi, Erez, Schwartz, Erez, Cohen, Gal, Shachaf, Gal, Rozenblum, Haim, Bata, Hofit, Blass, Ido, Magar, Inbal, Dalmedigos, Itay, Osin, Jhonathan, Fadlon, Julie, Rozman, Maria, Danos, Matan, Gokhman, Michael, Zusman, Mor, Gidron, Naama, Ratner, Nir, Gat, Noam, Rozen, Noam, Fried, Oded, Leshno, Ohad, Antverg, Omer, Abend, Omri, Lieber, Opher, Dagan, Or, Cohavi, Orit, Alon, Raz, Belson, Ro'i, Cohen, Roi, Gilad, Rom, Glozman, Roman, Lev, Shahar, Meirom, Shaked, Delbari, Tal, Ness, Tal, Asida, Tomer, Gal, Tom Ben, Braude, Tom, Pumerantz, Uriya, Cohen, Yehoshua, Belinkov, Yonatan, Globerson, Yuval, Levy, Yuval Peleg, Shoham, Yoav
We present Jamba-1.5, new instruction-tuned large language models based on our Jamba architecture. Jamba is a hybrid Transformer-Mamba mixture of experts architecture, providing high throughput and low memory usage across context lengths, while retai
Externí odkaz:
http://arxiv.org/abs/2408.12570
We consider the problem of wisely using a limited budget to label a small subset of a large unlabeled dataset. We are motivated by the NLP problem of word sense disambiguation. For any word, we have a set of candidate labels from a knowledge base, bu
Externí odkaz:
http://arxiv.org/abs/2011.01285
We introduce a simple and efficient method, called Auxiliary Tuning, for adapting a pre-trained Language Model to a novel task; we demonstrate this approach on the task of conditional text generation. Our approach supplements the original pre-trained
Externí odkaz:
http://arxiv.org/abs/2006.16823
Autor:
Levine, Yoav, Lenz, Barak, Dagan, Or, Ram, Ori, Padnos, Dan, Sharir, Or, Shalev-Shwartz, Shai, Shashua, Amnon, Shoham, Yoav
The ability to learn from large unlabeled corpora has allowed neural language models to advance the frontier in natural language understanding. However, existing self-supervision techniques operate at the word form level, which serves as a surrogate
Externí odkaz:
http://arxiv.org/abs/1908.05646
We study the effects of Kelvin-Helmholtz instability (KHI) on the cold streams that feed high-redshift galaxies through their hot haloes, generalizing our earlier analyses of a 2D slab to a 3D cylinder, but still limiting our analysis to the adiabati
Externí odkaz:
http://arxiv.org/abs/1806.05677
Autor:
Padnos, Dan, Mandelker, Nir, Birnboim, Yuval, Dekel, Avishai, Krumholz, Mark R., Steinberg, Elad
As part of our long-term campaign to understand how cold streams feed massive galaxies at high redshift, we study the Kelvin-Helmholtz instability (KHI) of a supersonic, cold, dense gas stream as it penetrates through a hot, dilute circumgalactic med
Externí odkaz:
http://arxiv.org/abs/1803.09105
Publikováno v:
ApJL, 2016, Volume 832, Issue 1, article id. L4
Virial shocks at edges of cosmic-web structures are a clear prediction of standard structure formation theories. We derive a criterion for the stability of the post-shock gas and of the virial shock itself in spherical, filamentary and planar infall
Externí odkaz:
http://arxiv.org/abs/1609.03233
Autor:
Mandelker, Nir, Padnos, Dan, Dekel, Avishai, Birnboim, Yuval, Burkert, Andreas, Krumholz, Mark R., Steinberg, Elad
Massive galaxies at high redshift are predicted to be fed from the cosmic web by narrow, dense, cold streams. These streams penetrate supersonically through the hot medium encompassed by a stable shock near the virial radius of the dark-matter halo.
Externí odkaz:
http://arxiv.org/abs/1606.06289
Akademický článek
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Autor:
Padnos, Dan, Mandelker, Nir, Birnboim, Yuval, Dekel, Avishai, Krumholz, Mark R, Steinberg, Elad
Publikováno v:
Monthly Notices of the Royal Astronomical Society; Jun2018, Vol. 477 Issue 3, p3293-3328, 36p
