Zobrazeno 1 - 10
of 1 896
pro vyhledávání: '"Choubey P"'
Autor:
Choubey, Prafulla Kumar, Su, Xin, Luo, Man, Peng, Xiangyu, Xiong, Caiming, Le, Tiep, Rosenman, Shachar, Lal, Vasudev, Mui, Phil, Ho, Ricky, Howard, Phillip, Wu, Chien-Sheng
Knowledge graphs (KGs) generated by large language models (LLMs) are becoming increasingly valuable for Retrieval-Augmented Generation (RAG) applications that require knowledge-intensive reasoning. However, existing KG extraction methods predominantl
Externí odkaz:
http://arxiv.org/abs/2410.16597
Evaluating retrieval-augmented generation (RAG) systems remains challenging, particularly for open-ended questions that lack definitive answers and require coverage of multiple sub-topics. In this paper, we introduce a novel evaluation framework base
Externí odkaz:
http://arxiv.org/abs/2410.15531
This manuscript proposes an optimization framework to find the tailor-made functionally graded material (FGM) profiles for thermoelastic applications. This optimization framework consists of (1) a random profile generation scheme, (2) deep learning (
Externí odkaz:
http://arxiv.org/abs/2408.14203
Autor:
ESSnuSB, Aguilar, J., Anastasopoulos, M., Baussan, E., Bhattacharyya, A. K., Bignami, A., Blennow, M., Bogomilov, M., Bolling, B., Bouquerel, E., Bramati, F., Branca, A., Brunetti, G., Bustinduy, I., Carlile, C. J., Cederkall, J., Choi, T. W., Choubey, S., Christiansen, P., Collins, M., Morales, E. Cristaldo, Cupiał, P., Danared, H., de André, J. P. A. M., Dracos, M., Efthymiopoulos, I., Ekelöf, T., Eshraqi, M., Fanourakis, G., Farricker, A., Fasoula, E., Fukuda, T., Gazis, N., Geralis, Th., Ghosh, M., Giarnetti, A., Gokbulut, G., Hagner, C., Halić, L., Hooft, M., Iversen, K. E., Jachowicz, N., Jenssen, M., Johansson, R., Kasimi, E., Topaksu, A. Kayis, Kildetof, B., Kordas, K., Leisos, A., Lindroos, M., Longhin, A., Maiano, C., Marangoni, S., Marrelli, C., Meloni, D., Mezzetto, M., Milas, N., Muñoz, J., Niewczas, K., Oglakci, M., Ohlsson, T., Olvegård, M., Pari, M., Patrzalek, D., Petkov, G., Petridou, Ch., Poussot, P., Psallidas, A., Pupilli, F., Saiang, D., Sampsonidis, D., Schwab, C., Sordo, F., Sosa, A., Stavropoulos, G., Tarkeshian, R., Terranova, F., Tolba, T., Trachanas, E., Tsenov, R., Tsirigotis, A., Tzamarias, S. E., Vankova-Kirilova, G., Vassilopoulos, N., Vihonen, S., Wurtz, J., Zeter, V., Zormpa, O.
This study provides an analysis of atmospheric neutrino oscillations at the ESSnuSB far detector facility. The prospects of the two cylindrical Water Cherenkov detectors with a total fiducial mass of 540 kt are investigated over 10 years of data taki
Externí odkaz:
http://arxiv.org/abs/2407.21663
In this paper, we study a non-minimal gauged $U(1)_{L_{\mu}-L_{\tau}}$ model, where we add two complex singlet scalars, three right-handed Majorana neutrinos (RHN), and a vector-like dark fermion to the Standard Model (SM), all non-trivially charged
Externí odkaz:
http://arxiv.org/abs/2406.16460
Autor:
Choubey, Peayush, Hirschfeld, P. J.
Josephson scanning tunneling microscopy (JSTM) is a powerful probe of the local superconducting order parameter, but studies have been largely limited to cases where superconducting sample and superconducting tip both have the same gap symmetry -- ei
Externí odkaz:
http://arxiv.org/abs/2406.09878
Autor:
ESSnuSB, Aguilar, J., Anastasopoulos, M., Baussan, E., Bhattacharyya, A. K., Bignami, A., Blennow, M., Bogomilov, M., Bolling, B., Bouquerel, E., Bramati, F., Branca, A., Brunetti, G., Bustinduy, I., Carlile, C. J., Cederkall, J., Choi, T. W., Choubey, S., Christiansen, P., Collins, M., Morales, E. Cristaldo, Cupiał, P., Danared, H., Dancila, D., de André, J. P. A. M., Dracos, M., Efthymiopoulos, I., Ekelöf, T., Eshraqi, M., Fanourakis, G., Farricker, A., Fasoula, E., Fukuda, T., Gazis, N., Geralis, Th., Ghosh, M., Giarnetti, A., Gokbulut, G., Gupta, A., Hagner, C., Halić, L., Hariharan, V. T., Hooft, M., Iversen, K. E., Jachowicz, N., Jenssen, M., Johansson, R., Kasimi, E., Topaksu, A. Kayis, Kildetof, B., Kliček, B., Kordas, K., Leisos, A., Lindroos, M., Longhin, A., Maiano, C., Majumdar, D., Marangoni, S., Marrelli, C., Martins, C., Meloni, D., Mezzetto, M., Milas, N., Muñoz, J., Niewczas, K., Oglakci, M., Ohlsson, T., Olvegård, M., Pari, M., Patrzalek, D., Petkov, G., Petridou, Ch., Poussot, P., Psallidas, A., Pupilli, F., Saiang, D., Sampsonidis, D., Schwab, C., Sordo, F., Sosa, A., Stavropoulos, G., Stipčević, M., Tarkeshian, R., Terranova, F., Tolba, T., Trachanas, E., Tsenov, R., Tsirigotis, A., Tzamarias, S. E., Vankova-Kirilova, G., Vassilopoulos, N., Vihonen, S., Wurtz, J., Zeter, V., Zormpa, O., Zou, Y.
Publikováno v:
JHEP 08 (2024) 063
Neutrino oscillation experiments provide a unique window in exploring several new physics scenarios beyond the standard three flavour. One such scenario is quantum decoherence in neutrino oscillation which tends to destroy the interference pattern of
Externí odkaz:
http://arxiv.org/abs/2404.17559
Operator-based neural network architectures such as DeepONets have emerged as a promising tool for the surrogate modeling of physical systems. In general, towards operator surrogate modeling, the training data is generated by solving the PDEs using t
Externí odkaz:
http://arxiv.org/abs/2402.16903
Autor:
Liu, Zhiwei, Yao, Weiran, Zhang, Jianguo, Yang, Liangwei, Liu, Zuxin, Tan, Juntao, Choubey, Prafulla K., Lan, Tian, Wu, Jason, Wang, Huan, Heinecke, Shelby, Xiong, Caiming, Savarese, Silvio
The booming success of LLMs initiates rapid development in LLM agents. Though the foundation of an LLM agent is the generative model, it is critical to devise the optimal reasoning strategies and agent architectures. Accordingly, LLM agent research a
Externí odkaz:
http://arxiv.org/abs/2402.15538
Ideal summarization models should generalize to novel summary-worthy content without remembering reference training summaries by rote. However, a single average performance score on the entire test set is inadequate in determining such model competen
Externí odkaz:
http://arxiv.org/abs/2311.09458