Zobrazeno 1 - 10
of 106 484
pro vyhledávání: '"A. Nagata"'
In this paper, we propose a two-phase training approach where pre-trained large language models are continually pre-trained on parallel data and then supervised fine-tuned with a small amount of high-quality parallel data. To investigate the effectiv
Externí odkaz:
http://arxiv.org/abs/2407.03145
The rapid advancement of data science and artificial intelligence has influenced physics in numerous ways, including the application of Bayesian inference. Our group has proposed Bayesian measurement, a framework that applies Bayesian inference to me
Externí odkaz:
http://arxiv.org/abs/2406.02869
Autor:
Ghigna, T., Adler, A., Aizawa, K., Akamatsu, H., Akizawa, R., Allys, E., Anand, A., Aumont, J., Austermann, J., Azzoni, S., Baccigalupi, C., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Basyrov, A., Beckman, S., Bersanelli, M., Bortolami, M., Bouchet, F., Brinckmann, T., Campeti, P., Carinos, E., Carones, A., Casas, F. J., Cheung, K., Chinone, Y., Clermont, L., Columbro, F., Coppolecchia, A., Curtis, D., de Bernardis, P., de Haan, T., de la Hoz, E., De Petris, M., Della Torre, S., Monache, G. Delle, Di Giorgi, E., Dickinson, C., Diego-Palazuelos, P., García, J. J. Díaz, Dobbs, M., Dotani, T., D'Alessandro, G., Eriksen, H. K., Errard, J., Essinger-Hileman, T., Farias, N., Ferreira, E., Franceschet, C., Fuskeland, U., Galloni, G., Galloway, M., Ganga, K., Gerbino, M., Gervasi, M., Génova-Santos, R. T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., González, R. González, Grandsire, L., Gruppuso, A., Halverson, N. W., Hargrave, P., Harper, S. E., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Herranz, D., Hivon, E., Hlozek, R. A., Hoang, T. D., Hubmayr, J., Ichiki, K., Ikuma, K., Ishino, H., Jaehnig, G., Jost, B., Kohri, K., Konishi, K., Lamagna, L., Lattanzi, M., Leloup, C., Levrier, F., Lonappan, A. I., Luzzi, G., Macias-Perez, J., Maffei, B., Marchitelli, E., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Micheli, S., Migliaccio, M., Monelli, M., Montier, L., Morgante, G., Mousset, L., Nagano, Y., Nagata, R., Natoli, P., Novelli, A., Noviello, F., Obata, I., Occhiuzzi, A., Odagiri, K., Omae, R., Pagano, L., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Patanchon, G., Pavlidou, V., Piacentini, F., Piat, M., Piccirilli, G., Pinchera, M., Pisano, G., Porcelli, L., Raffuzzi, N., Raum, C., Remazeilles, M., Ritacco, A., Rubino-Martin, J., Ruiz-Granda, M., Sakurai, Y., Savini, G., Scott, D., Sekimoto, Y., Shiraishi, M., Signorelli, G., Stever, S. L., Sullivan, R. M., Suzuki, A., Takaku, R., Takakura, H., Takakura, S., Tartari, Y. Takase. A., Tassis, K., Thompson, K. L., Tomasi, M., Tristram, M., Tucker, C., Vacher, L., van Tent, B., Vielva, P., Watanuki, K., Wehus, I. K., Westbrook, B., Weymann-Despres, G., Winter, B., Wollack, E. J., Zacchei, A., Zannoni, M., Zhou, Y., Collaboration, the LiteBIRD
LiteBIRD, the next-generation cosmic microwave background (CMB) experiment, aims for a launch in Japan's fiscal year 2032, marking a major advancement in the exploration of primordial cosmology and fundamental physics. Orbiting the Sun-Earth Lagrangi
Externí odkaz:
http://arxiv.org/abs/2406.02724
Autor:
Nagata, Kenji, Mototake, Yoh-ichi
The Metropolis algorithm is one of the Markov chain Monte Carlo (MCMC) methods that realize sampling from the target probability distribution. In this paper, we are concerned with the sampling from the distribution in non-identifiable cases that invo
Externí odkaz:
http://arxiv.org/abs/2406.00369
Autor:
Nagata, Hibiki, Sakurai, Hiroya, Ueki, Yuta, Yamane, Kazuki, Matsumoto, Ryo, Terashima, Kensei, Hirose, Keisuke, Ohta, Hiroto, Kato, Masaki, Takano, Yoshihiko
The superconducting transition temperatures, $T_{\mathrm{c}}$, of La$_{4}$Ni$_{3}$O$_{10+\delta}$($\delta$ = 0.04 and -0.01) were determined under various pressures up to 124.9 GPa by electrical resistance measurements with a diamond anvil cell. $T_{
Externí odkaz:
http://arxiv.org/abs/2405.19880
The problem of hallucination and omission, a long-standing problem in machine translation (MT), is more pronounced when a large language model (LLM) is used in MT because an LLM itself is susceptible to these phenomena. In this work, we mitigate the
Externí odkaz:
http://arxiv.org/abs/2405.09223
Using crowdsourcing, we collected more than 10,000 URL pairs (parallel top page pairs) of bilingual websites that contain parallel documents and created a Japanese-Chinese parallel corpus of 4.6M sentence pairs from these websites. We used a Japanese
Externí odkaz:
http://arxiv.org/abs/2405.09017
Autor:
Oyama, Keigo, Hayashi, Yui, Kuwamoto, Shigeo, Katakami, Shun, Nagata, Kenji, Mizumaki, Masaichiro, Okada, Masato
Small-angle scattering (SAS) techniques, which utilize neutrons and X-rays, are employed in various scientific fields, including materials science, biochemistry, and polymer physics. During the analysis of SAS data, model parameters that contain info
Externí odkaz:
http://arxiv.org/abs/2405.07302
We demonstrate two-dimensional arrays of Bose-Einstein condensates (BECs) as a new experimental platform with parallel quantum simulation capability. A defect-free array of up to 49 BECs is formed by loading a single BEC with 50,000 atoms into 7*7 op
Externí odkaz:
http://arxiv.org/abs/2404.14142
Autor:
Shieh, Binsheu, Masuda, Ryo, Tsutsui, Satoshi, Katakami, Shun, Nagata, Kenji, Mizumaki, Masaichiro, Okada, Masato
M\"ossbauer spectroscopy is a technique employed to investigate the microscopic properties of materials using transitions between energy levels in the nuclei. Conventionally, in synchrotron-radiation-based M\"ossbauer spectroscopy, the measurement wi
Externí odkaz:
http://arxiv.org/abs/2404.13916