activity
20212024
most citedKey Information Extraction From Documents: Evaluation And Generator

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024★ 1 cited

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…

cs.HC2023

Telerobotic Mars Mission for Lava Tube Exploration and Examination of Life

Hanjo Schnellbaecher, Florian Dufresne, Tommy Nilsson +5

The general profile and overarching goal of this proposed mission is to pioneer potentially highly beneficial (even vital) and cost-effective techniques for the future human coloni…

cs.CL2021★ 3 cited

Key Information Extraction From Documents: Evaluation And Generator

Oliver Bensch, Mirela Popa, Constantin Spille

Extracting information from documents usually relies on natural language processing methods working on one-dimensional sequences of text. In some cases, for example, for the extrac…