Zobrazeno 1 - 10
of 69 101
pro vyhledávání: '"AS Diehl"'
Language models are typically trained on large corpora of text in their default orthographic form. However, this is not the only option; representing data as streams of phonemes can offer unique advantages, from deeper insights into phonological lang
Externí odkaz:
http://arxiv.org/abs/2410.22906
Curriculum Learning has been a popular strategy to improve the cognitive plausibility of Small-Scale Language Models (SSLMs) in the BabyLM Challenge. However, it has not led to considerable improvements over non-curriculum models. We assess whether t
Externí odkaz:
http://arxiv.org/abs/2410.22886
Autor:
McCullough, J., Amon, A., Legnani, E., Gruen, D., Roodman, A., Friedrich, O., MacCrann, N., Becker, M. R., Myles, J., Dodelson, S., Samuroff, S., Blazek, J., Prat, J., Honscheid, K., Pieres, A., Ferté, A., Alarcon, A., Drlica-Wagner, A., Choi, A., Navarro-Alsina, A., Campos, A., Malagón, A. A. Plazas, Porredon, A., Farahi, A., Ross, A. J., Rosell, A. Carnero, Yin, B., Flaugher, B., Yanny, B., Sánchez, C., Chang, C., Davis, C., To, C., Doux, C., Brooks, D., James, D. J., Cid, D. Sanchez, Hollowood, D. L., Huterer, D., Rykoff, E. S., Gaztanaga, E., Huff, E. M., Suchyta, E., Sheldon, E., Sanchez, E., Tarsitano, F., Andrade-Oliveira, F., Castander, F. J., Bernstein, G. M., Gutierrez, G., Giannini, G., Tarle, G., Diehl, H. T., Huang, H., Harrison, I., Sevilla-Noarbe, I., Tutusaus, I., Ferrero, I., Elvin-Poole, J., Marshall, J. L., Muir, J., Weller, J., Zuntz, J., Carretero, J., DeRose, J., Frieman, J., Cordero, J., De Vicente, J., García-Bellido, J., Mena-Fernández, J., Eckert, K., Romer, A. K., Bechtol, K., Herner, K., Kuehn, K., Secco, L. F., da Costa, L. N., Paterno, M., Soares-Santos, 21 M., Gatti, M., Raveri, M., Yamamoto, M., Smith, M., Kind, M. Carrasco, Troxel, M. A., Aguena, M., Jarvis, M., Swanson, M. E. C., Weaverdyck, N., Lahav, O., Doel, P., Wiseman, P., Miquel, R., Gruendl, R. A., Cawthon, R., Allam, S., Hinton, S. R., Bridle, S. L., Bocquet, S., Desai, S., Pandey, S., Everett, S., Lee, S., Shin, T., Palmese, A., Conselice, C., Burke, D. L., Buckley-Geer, E., Lima, M., Vincenzi, M., Pereira, M. E. S., Crocce, M., Schubnell, M., Jeffrey, N., Alves, O., Vikram, V., Zhang, Y., Collaboration, DES
Modeling the intrinsic alignment (IA) of galaxies poses a challenge to weak lensing analyses. The Dark Energy Survey is expected to be less impacted by IA when limited to blue, star-forming galaxies. The cosmological parameter constraints from this b
Externí odkaz:
http://arxiv.org/abs/2410.22272
Language models strongly rely on frequency information because they maximize the likelihood of tokens during pre-training. As a consequence, language models tend to not generalize well to tokens that are seldom seen during training. Moreover, maximum
Externí odkaz:
http://arxiv.org/abs/2410.11462
Increasing the number of parameters in language models is a common strategy to enhance their performance. However, smaller language models remain valuable due to their lower operational costs. Despite their advantages, smaller models frequently under
Externí odkaz:
http://arxiv.org/abs/2410.11451
Distribution shifts between operational domains can severely affect the performance of learned models in self-driving vehicles (SDVs). While this is a well-established problem, prior work has mostly explored naive solutions such as fine-tuning, focus
Externí odkaz:
http://arxiv.org/abs/2410.09681
Autor:
Porter, Robert, Diehl, Adam, Pastel, Benjamin, Hinnefeld, J. Henry, Nerenberg, Lawson, Maung, Pye, Kerbrat, Sebastien, Hanson, Gillian, Astorino, Troy, Tarsa, Stephen J.
We introduce LLMD, a large language model designed to analyze a patient's medical history based on their medical records. Along with domain knowledge, LLMD is trained on a large corpus of records collected over time and across facilities, as well as
Externí odkaz:
http://arxiv.org/abs/2410.12860
Online planning of collision-free trajectories is a fundamental task for robotics and self-driving car applications. This paper revisits collision avoidance between ellipsoidal objects using differentiable constraints. Two ellipsoids do not overlap i
Externí odkaz:
http://arxiv.org/abs/2409.12007
Autor:
Garcia, B. Ary dos Santos, Bergermann, D., Caldwell, A., Dabhi, V., Diaconu, C., Diehl, J., Dvali, G., Egge, J., Garutti, E., Heyminck, S., Hubaut, F., Ivanov, A., Jochum, J., Knirck, S., Kramer, M., Kreikemeyer-Lorenzo, D., Krieger, C., Lee, C., Leppla-Weber, D., Li, X., Lindner, A., Majorovits, B., Maldonado, J. P. A., Martini, A., Miyazaki, A., Öz, E., Pralavorio, P., Raffelt, G., Redondo, J., Ringwald, A., Schaffran, J., Schmidt, A., Steffen, F., Strandhagen, C., Usherov, I., Wang, H., Wieching, G.
This paper presents the first search for dark matter axions with mass in the ranges 76.56 to 76.82 $\mu$eV and 79.31 to 79.53 $\mu$eV using a prototype setup for the MAgnetized Disk and Mirror Axion eXperiment (MADMAX). The experimental setup employs
Externí odkaz:
http://arxiv.org/abs/2409.11777
Autor:
Deur, A., Kuhn, S. E., Ripani, M., Zheng, X., Acar, A. G., Achenbach, P., Adhikari, K. P., Alvarado, J. S., Amaryan, M. J., Armstrong, W. R., Atac, H., Avakian, H., Baashen, L., Baltzell, N. A., Barion, L., Bashkanov, M., Battaglieri, M., Benkel, B., Benmokhtar, F., Bianconi, A., Biselli, A. S., Booth, W. A., ossu, F. B, Bosted, P., Boiarinov, S., Brinkmann, K. Th., Briscoe, W. J., Bueltmann, S., Burkert, V. D., Carman, D. S., Chatagnon, P., Chen, J. P., Ciullo, G., Cole, P. L., Contalbrigo, M., Crede, V., D'Angelo, A., Dashyan, N., De Vita, R., Defurne, M., Diehl, S., Djalali, C., Drozdov, V. A., Dupre, R., Egiyan, H., Alaoui, A. El, Fassi, L. El, Elouadrhiri, L., Eugenio, P., Faggert, J. C., Fegan, S., Fersch, R., Filippi, A., Gates, K., Gavalian, G., Gilfoyle, G. P., Gothe, R. W., Guo, L., Hakobyan, H., Hattawy, M., Hauenstein, F., Heddle, D., Hobart, A., Holtrop, M., Ireland, D. G., Isupov, E. L., Jiang, H., Jo, H. S., Joosten, S., Kang, H., Keith, C., Khandaker, M., Kim, W., Klein, F. J., Klimenko, V., Konczykowski, P., Kovacs, K., Kripko, A., Kubarovsky, V., Lanza, L., Lee, S., Lenisa, P., Li, X., Long, E., MacGregor, I. J. D., Marchand, D., Mascagna, V., Matamoros, D., McKinnon, B., Meekins, D., Migliorati, S., Mineeva, T., Mirazita, M., Mokeev, V., Munoz-Camacho, C., Nadel-Turonski, P., Nagorna, T., Neupane, K., Niccolai, S., Osipenko, M., Ostrovidov, A. I., Pandey, P., Paolone, M., Pappalardo, L. L., Paremuzyan, R., Pasyuk, E., Paul, S. J., Phelps, W., Phillips, S. K., Pierce, J., Pilleux, N., Pokhrel, M., Price, J. W., Prok, Y., Radic, A., Reed, T., Richards, J., Rosner, G., Rossi, P., Rusova, A. A., Salgado, C., Schmidt, A., Schumacher, R. A., Sharabian, Y. G., Shirokov, E. V., Shrestha, U., Sirca, S., Sparveris, N., Spreafico, M., Stepanyan, S., Strakovsky, I. I., Strauch, S., Sulkosky, V., Tan, J. A., Tenorio, M., Trotta, N., Tyson, R., Ungaro, M., Upton, D. W., Vallarino, S., Venturelli, L., Voskanyan, H., Voutier, E., Watts, D. P., Wei, X., Wood, M. H., Zachariou, N., Zhang, J., Zurek, M.
The spin structure functions of the proton and the deuteron were measured during the EG4 experiment at Jefferson Lab in 2006. Data were collected for longitudinally polarized electron scattering off longitudinally polarized NH$_3$ and ND$_3$ targets,
Externí odkaz:
http://arxiv.org/abs/2409.08365