3 papers
cs.AI2024
Towards a Reliable Offline Personal AI Assistant for Long Duration Spaceflight
Oliver Bensch, Leonie Bensch, Tommy Nilsson +5
As humanity prepares for new missions to the Moon and Mars, astronauts will need to operate with greater autonomy, given the communication delays that make real-time support from E…
cs.AI2024
AI Assistants for Spaceflight Procedures: Combining Generative Pre-Trained Transformer and Retrieval-Augmented Generation on Knowledge Graphs With Augmented Reality Cues
Oliver Bensch, Leonie Bensch, Tommy Nilsson +5
This paper describes the capabilities and potential of the intelligent personal assistant (IPA) CORE (Checklist Organizer for Research and Exploration), designed to support astrona…
cs.CL2024★ 1 cited
Style Vectors for Steering Generative Large Language Model
Kai Konen, Sophie Jentzsch, Diaoulé Diallo +5
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 vec…