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pro vyhledávání: '"Schütt, Peer"'
Autor:
Konen, Kai, Jentzsch, Sophie, Diallo, Diaoulé, Schütt, Peer, Bensch, Oliver, Baff, Roxanne El, Opitz, Dominik, Hecking, Tobias
This research explores strategies for steering the output of large language models (LLMs) towards specific styles, such as sentiment, emotion, or writing style, by adding style vectors to the activations of hidden layers during text generation. We sh
Externí odkaz:
http://arxiv.org/abs/2402.01618
Semantic segmentation is a core ability required by autonomous agents, as being able to distinguish which parts of the scene belong to which object class is crucial for navigation and interaction with the environment. Approaches which use only one ti
Externí odkaz:
http://arxiv.org/abs/2203.15469
Deep convolutional neural networks (CNNs) have shown outstanding performance in the task of semantically segmenting images. Applying the same methods on 3D data still poses challenges due to the heavy memory requirements and the lack of structured da
Externí odkaz:
http://arxiv.org/abs/2108.03917
Deep convolutional neural networks (CNNs) have shown outstanding performance in the task of semantically segmenting images. However, applying the same methods on 3D data still poses challenges due to the heavy memory requirements and the lack of stru
Externí odkaz:
http://arxiv.org/abs/1912.05905
Publikováno v:
Autonomous Robots; Jan2022, Vol. 46 Issue 1, p45-60, 16p
