Zobrazeno 1 - 10
of 13 694
pro vyhledávání: '"A. Marone"'
Autor:
Liu, Tianlin, Münchmeyer, Jannes, Laurenti, Laura, Marone, Chris, de Hoop, Maarten V., Dokmanić, Ivan
We introduce the Seismic Language Model (SeisLM), a foundational model designed to analyze seismic waveforms -- signals generated by Earth's vibrations such as the ones originating from earthquakes. SeisLM is pretrained on a large collection of open-
Externí odkaz:
http://arxiv.org/abs/2410.15765
Autor:
Lautizi, Ginevra, Studer, Alain, Zdora, Marie-Christine, De Marco, Fabio, Kim, Jisoo, Di Trapani, Vittorio, Marone, Federica, Thibault, Pierre, Stampanoni, Marco
Publikováno v:
Phys. Rev. Applied 22, 024031 (2024)
We present a versatile method for full-field, X-ray scattering tensor tomography that is based on energy conservation and is applicable to data obtained using different wavefront modulators. Using this algorithm, we pave the way for speckle-based ten
Externí odkaz:
http://arxiv.org/abs/2406.18680
Large language models (LLMs) are increasingly capable of completing knowledge intensive tasks by recalling information from a static pretraining corpus. Here we are concerned with LLMs in the context of evolving data requirements. For instance: batch
Externí odkaz:
http://arxiv.org/abs/2404.08417
To trust the fluent generations of large language models (LLMs), humans must be able to verify their correctness against trusted, external sources. Recent efforts, such as providing citations via retrieved documents or post-hoc provenance, enhance ve
Externí odkaz:
http://arxiv.org/abs/2404.03862
Autor:
Cheng, Jeffrey, Marone, Marc, Weller, Orion, Lawrie, Dawn, Khashabi, Daniel, Van Durme, Benjamin
Released Large Language Models (LLMs) are often paired with a claimed knowledge cutoff date, or the dates at which training data was gathered. Such information is crucial for applications where the LLM must provide up to date information. However, th
Externí odkaz:
http://arxiv.org/abs/2403.12958
Autor:
Kammer, David S., McLaskey, Gregory C., Abercrombie, Rachel E., Ampuero, Jean-Paul, Cattania, Camilla, Cocco, Massimo, Zilio, Luca Dal, Dresen, Georg, Gabriel, Alice-Agnes, Ke, Chun-Yu, Marone, Chris, Selvadurai, Paul A., Tinti, Elisa
Earthquakes are rupture-like processes that propagate along tectonic faults and cause seismic waves. The propagation speed and final area of the rupture, which determine an earthquake's potential impact, are directly related to the nature and quantit
Externí odkaz:
http://arxiv.org/abs/2403.06916
Autor:
Lozhkov, Anton, Li, Raymond, Allal, Loubna Ben, Cassano, Federico, Lamy-Poirier, Joel, Tazi, Nouamane, Tang, Ao, Pykhtar, Dmytro, Liu, Jiawei, Wei, Yuxiang, Liu, Tianyang, Tian, Max, Kocetkov, Denis, Zucker, Arthur, Belkada, Younes, Wang, Zijian, Liu, Qian, Abulkhanov, Dmitry, Paul, Indraneil, Li, Zhuang, Li, Wen-Ding, Risdal, Megan, Li, Jia, Zhu, Jian, Zhuo, Terry Yue, Zheltonozhskii, Evgenii, Dade, Nii Osae Osae, Yu, Wenhao, Krauß, Lucas, Jain, Naman, Su, Yixuan, He, Xuanli, Dey, Manan, Abati, Edoardo, Chai, Yekun, Muennighoff, Niklas, Tang, Xiangru, Oblokulov, Muhtasham, Akiki, Christopher, Marone, Marc, Mou, Chenghao, Mishra, Mayank, Gu, Alex, Hui, Binyuan, Dao, Tri, Zebaze, Armel, Dehaene, Olivier, Patry, Nicolas, Xu, Canwen, McAuley, Julian, Hu, Han, Scholak, Torsten, Paquet, Sebastien, Robinson, Jennifer, Anderson, Carolyn Jane, Chapados, Nicolas, Patwary, Mostofa, Tajbakhsh, Nima, Jernite, Yacine, Ferrandis, Carlos Muñoz, Zhang, Lingming, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm
The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In partnership with Software Heritage (SWH), we build The Stack v2 on top of the digita
Externí odkaz:
http://arxiv.org/abs/2402.19173
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Various machine learning (ML) and deep learning (DL) techniques have been recently applied to the forecasting of laboratory earthquakes from friction experiments. The magnitude and timing of shear failures in stick-slip cycles are predicted
Externí odkaz:
https://doaj.org/article/9d448c8f71f1482d9ce2963d06ec2f10
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Here we define and report the relationship between the maximum seismic magnitude (M) and injection volume (ΔV) through fluid-injection fault-reactivation experiments and analysis. This relationship incorporates the in situ shear modulus (G)
Externí odkaz:
https://doaj.org/article/1663b315122a421f87a0dc3d38e8a905
Autor:
Weller, Orion, Marone, Marc, Weir, Nathaniel, Lawrie, Dawn, Khashabi, Daniel, Van Durme, Benjamin
Large Language Models (LLMs) may hallucinate and generate fake information, despite pre-training on factual data. Inspired by the journalistic device of "according to sources", we propose according-to prompting: directing LLMs to ground responses aga
Externí odkaz:
http://arxiv.org/abs/2305.13252