Zobrazeno 1 - 10
of 16 251
pro vyhledávání: '"Moa, A."'
Extent of the Magnetotail of Venus From the Solar Orbiter, Parker Solar Probe and BepiColombo Flybys
Autor:
Edberg, Niklas J. T., Andrews, David J., Boldú, J. Jordi, Dimmock, Andrew P., Khotyaintsev, Yuri V., Kim, Konstantin, Persson, Moa, Auster, Uli, Constantinescu, Dragos, Heyner, Daniel, Mieth, Johannes, Richter, Ingo, Curry, Shannon M., Hadid, Lina Z., Pisa, David, Sorriso-Valvo, Luca, Lester, Mark, Sánchez-Cano, Beatriz, Stergiopoulou, Katerina, Romanelli, Norberto, Fischer, David, Schmid, Daniel, Volwerk, Martin
Publikováno v:
Journal of Geophysical Research: Space Physics, 129, e2024JA032603
We analyze data from multiple flybys by the Solar Orbiter, BepiColombo, and Parker Solar Probe (PSP) missions to study the interaction between Venus' plasma environment and the solar wind forming the induced magnetosphere. Through examination of magn
Externí odkaz:
http://arxiv.org/abs/2410.21856
Previous interpretations of language models (LMs) miss important distinctions in how these models process factual information. For example, given the query "Astrid Lindgren was born in" with the corresponding completion "Sweden", no difference is mad
Externí odkaz:
http://arxiv.org/abs/2410.14405
A central but unresolved aspect of problem-solving in AI is the capability to introduce and use abstractions, something humans excel at. Work in cognitive science has demonstrated that humans tend towards higher levels of abstraction when engaged in
Externí odkaz:
http://arxiv.org/abs/2409.20120
Autor:
Bruinsma, Bastiaan, Fredén, Annika, Hansson, Kajsa, Johansson, Moa, Kisić-Merino, Pasko, Saynova, Denitsa
This paper examines the development of the Artificial Intelligence (AI) meta-debate in Sweden before and after the release of ChatGPT. From the perspective of agenda-setting theory, we propose that it is an elite outside of party politics that is lea
Externí odkaz:
http://arxiv.org/abs/2409.16946
The emergence of mathematical concepts, such as number systems, is an understudied area in AI for mathematics and reasoning. It has previously been shown Carlsson et al. (2021) that by using reinforcement learning (RL), agents can derive simple appro
Externí odkaz:
http://arxiv.org/abs/2409.07170
Autor:
Gao, Jiawei, Li, Shibang, Mittelholz, Anna, Rong, Zhaojin, Persson, Moa, Shi, Zhen, Lu, Haoyu, Zhang, Chi, Wang, Xiaodong, Dong, Chuanfei, Klinger, Lucy, Cui, Jun, Wei, Yong, Pan, Yongxin
When the solar wind interacts with the ionosphere of an unmagnetized planet, it induces currents that form an induced magnetosphere. These currents and their associated magnetic fields play a pivotal role in controlling the movement of charged partic
Externí odkaz:
http://arxiv.org/abs/2408.03075
We investigate how combinations of Large Language Models (LLMs) and symbolic analyses can be used to synthesise specifications of C programs. The LLM prompts are augmented with outputs from two formal methods tools in the Frama-C ecosystem, Pathcrawl
Externí odkaz:
http://arxiv.org/abs/2406.15540
Autor:
Myklebust, Even Moa, Frigessi, Arnoldo, Schjesvold, Fredrik, Foo, Jasmine, Leder, Kevin, Köhn-Luque, Alvaro
Predicting cancer dynamics under treatment is challenging due to high inter-patient heterogeneity, lack of predictive biomarkers, and sparse and noisy longitudinal data. Mathematical models can summarize cancer dynamics by a few interpretable paramet
Externí odkaz:
http://arxiv.org/abs/2405.14508
Autor:
de Pieuchon, Nicolas Audinet, Daoud, Adel, Jerzak, Connor Thomas, Johansson, Moa, Johansson, Richard
We investigate the potential of large language models (LLMs) to disentangle text variables--to remove the textual traces of an undesired forbidden variable in a task sometimes known as text distillation and closely related to the fairness in AI and c
Externí odkaz:
http://arxiv.org/abs/2403.16584
Transformer language models are neural networks used for a wide variety of tasks concerning natural language, including some that also require logical reasoning. However, a transformer model may easily learn spurious patterns in the data, short-circu
Externí odkaz:
http://arxiv.org/abs/2403.11314