Zobrazeno 1 - 10
of 21 248
pro vyhledávání: '"WEIR, P"'
Autor:
Krämer-Flecken, A., Proll, J. H. E., Weir, G., Costello, P., Fuchert, G., Geiger, J., Heuraux, S., Knieps, A., Langenberg, A., Mendes, S. Vaz, Pablant, N., Pasch, E., Rahbarnia, K., Sabot, R., Salazar, L., Smith, H. M., Thomsen, H., Windisch, T., Xiang, H. M., W7-X-team, the
In the past, quasi coherent modes were reported for nearly all tokamaks. The general definition describes modes as quasi coherent when the magnitude squared coherence is in the range of \SIrange{0.3}{0.6}{}. Quasi coherent modes are observed in the p
Externí odkaz:
http://arxiv.org/abs/2408.12900
Autor:
Nyarko-Agyei, Albert, Moser, Scott, Seymour, Rowland G, Brewster, Ben, Li, Sabrina, Weir, Esther, Landman, Todd, Wyman, Emily, Torres, Christine Belle, Fell, Imogen, Boyd, Doreen
Effective policy and intervention strategies to combat human trafficking for child sexual exploitation material (CSEM) production require accurate prevalence estimates. Traditional Network Scale Up Method (NSUM) models often necessitate standalone su
Externí odkaz:
http://arxiv.org/abs/2407.13267
Gravitational waves (GWs) generated by a first-order phase transition at the electroweak scale are detectable by future space-based detectors like LISA. The lifetime of the resulting shock waves plays an important role in determining the intensity of
Externí odkaz:
http://arxiv.org/abs/2407.05826
Autor:
Jiang, Zhengping, Zhang, Jingyu, Weir, Nathaniel, Ebner, Seth, Wanner, Miriam, Sanders, Kate, Khashabi, Daniel, Liu, Anqi, Van Durme, Benjamin
Hallucinations -- the generation of untrue claims -- pose a challenge to the application of large language models (LLMs) [1] thereby motivating the development of metrics to evaluate factual precision. We observe that popular metrics using the Decomp
Externí odkaz:
http://arxiv.org/abs/2407.03572
Stochastic backgrounds of gravitational waves from primordial first-order phase transitions are a key probe of physics beyond the Standard Model. They represent one of the best prospects for observing or constraining new physics with the LISA gravita
Externí odkaz:
http://arxiv.org/abs/2406.04894
Program synthesis with language models (LMs) has unlocked a large set of reasoning abilities; code-tuned LMs have proven adept at generating programs that solve a wide variety of algorithmic symbolic manipulation tasks (e.g. word concatenation). Howe
Externí odkaz:
http://arxiv.org/abs/2405.16337
Publikováno v:
Proc of the 10th International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2019), Venice, Italy, May 2019, pp. 61-66, ISSN 2308-4294
In recent years, Cloud Computing has transformed local businesses and created new business models on the Internet- and Cloud services are still flourishing. But after the emphatic hype in the early years, a more realistic perception of Cloud services
Externí odkaz:
http://arxiv.org/abs/2405.11350
Publikováno v:
Proc of the 9th International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2018), Barcelona, Spain, February 2018, pp. 45-50, ISSN 2308-4294
As organisations move away from locally hosted computer services toward Cloud platforms, there is a corresponding need to ensure the forensic integrity of such instances. The primary reasons for concern are (i) the locus of responsibility, and (ii) t
Externí odkaz:
http://arxiv.org/abs/2405.06455
Autor:
Weir, George R. S., Aßmuth, Andreas
Publikováno v:
Proc of the 8th International Conference on Cloud Computing, GRIDs, and Virtualization (Cloud Computing 2017), Athens, Greece, February 2017, pp. 49-53, ISSN 2308-4294
Effective activity and event monitoring is an essential aspect of digital forensic readiness. Techniques for capturing log and other event data are familiar from conventional networked hosts and transfer directly to the Cloud context. In both context
Externí odkaz:
http://arxiv.org/abs/2405.02070
Autor:
Jiang, Dongwei, Zhang, Jingyu, Weller, Orion, Weir, Nathaniel, Van Durme, Benjamin, Khashabi, Daniel
Can LLMs consistently improve their previous outputs for better results? For this to be true, LLMs would need to be better at discriminating among previously-generated alternatives, than generating initial responses. We explore the validity of this h
Externí odkaz:
http://arxiv.org/abs/2404.04298