1 citations · 2 across the 3 of their papers we have counts for
4 papers
Label Less, Learn More: Resource-Efficient Active Semi-Supervised Learning for Onboard Satellite Image Annotation
Ahmed Abdelnaby, Mohamed Elmahallawy, Marius Bernahrndt +1
Large-scale pervasive sensing increasingly relies on high-resolution satellite imagery, yet task-specific onboard vision is constrained by costly annotation and limited computation…
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…
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…
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…