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pro vyhledávání: '"Hermann AS"'
This paper explores the rapid development of a telephone call summarization system utilizing large language models (LLMs). Our approach involves initial experiments with prompting existing LLMs to generate summaries of telephone conversations, follow
Externí odkaz:
http://arxiv.org/abs/2410.18624
The performance of neural networks scales with both their size and the amount of data they have been trained on. This is shown in both language and image generation. However, this requires scaling-friendly network architectures as well as large-scale
Externí odkaz:
http://arxiv.org/abs/2410.13924
Autor:
Xu, Haofei, Peng, Songyou, Wang, Fangjinhua, Blum, Hermann, Barath, Daniel, Geiger, Andreas, Pollefeys, Marc
Gaussian splatting and single/multi-view depth estimation are typically studied in isolation. In this paper, we present DepthSplat to connect Gaussian splatting and depth estimation and study their interactions. More specifically, we first contribute
Externí odkaz:
http://arxiv.org/abs/2410.13862
The shift towards decentralized and renewable energy sources has introduced significant challenges to traditional power systems, necessitating innovative market designs. Local energy markets present a viable solution for integrating distributed energ
Externí odkaz:
http://arxiv.org/abs/2410.13330
Archives of libraries contain many materials, which have not yet been made available to the public. The prioritization of which content to provide and especially how to design effective access paths depend on potential users' needs. As a case study w
Externí odkaz:
http://arxiv.org/abs/2410.22358
Autor:
Garcia, Pablo Soler, Lukovic, Petar, Reynaud, Lucie, Sgobbi, Andrea, Bruni, Federica, Brun, Martin, Zünd, Marc, Bollati, Riccardo, Pollefeys, Marc, Blum, Hermann, Bauer, Zuria
Human-robot interaction through mixed reality (MR) technologies enables novel, intuitive interfaces to control robots in remote operations. Such interfaces facilitate operations in hazardous environments, where human presence is risky, yet human over
Externí odkaz:
http://arxiv.org/abs/2410.11110
Autor:
Müller, Eike Hermann
The incompressible Euler equations are an important model system in computational fluid dynamics. Fast high-order methods for the solution of this time-dependent system of partial differential equations are of particular interest: due to their expone
Externí odkaz:
http://arxiv.org/abs/2410.09790
Autor:
Aydin, Irem, Diebel-Fischer, Hermann, Freiberger, Vincent, Möller-Klapperich, Julia, Buchmann, Erik, Färber, Michael, Lauber-Rönsberg, Anne, Platow, Birte
The growing use of Machine Learning and Artificial Intelligence (AI), particularly Large Language Models (LLMs) like OpenAI's GPT series, leads to disruptive changes across organizations. At the same time, there is a growing concern about how organiz
Externí odkaz:
http://arxiv.org/abs/2410.08381
Autor:
Hedicke, Jakob, Neeb, Karl-Hermann
An element $g$ of a Lie group is called stably elliptic if it is contained in the interior of the set $G^e$ of elliptic elements, characterized by the property that $\mathrm{Ad}(g)$ generates a relatively compact subgroup. Stably elliptic elements ap
Externí odkaz:
http://arxiv.org/abs/2410.08083
Autor:
Kerkmann, David, Korf, Sascha, Nguyen, Khoa, Abele, Daniel, Schengen, Alain, Gerstein, Carlotta, Göbbert, Jens Henrik, Basermann, Achim, Kühn, Martin J., Meyer-Hermann, Michael
Agent-based models have proven to be useful tools in supporting decision-making processes in different application domains. The advent of modern computers and supercomputers has enabled these bottom-up approaches to realistically model human mobility
Externí odkaz:
http://arxiv.org/abs/2410.08050