5 citations · 12 across the 10 of their papers we have counts for
10 papers
Robots with Attitudes: Influence of LLM-Driven Robot Personalities on Motivation and Performance
Dennis Becker, Kyra Ahrens, Connor Gäde +2
Large language models enable unscripted conversations while maintaining a consistent personality. One desirable personality trait in cooperative partners, known to improve task per…
Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion
Philipp Allgeuer, Kyra Ahrens, Stefan Wermter
We introduce NOVIC, an innovative real-time uNconstrained Open Vocabulary Image Classifier that uses an autoregressive transformer to generatively output classification labels as l…
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models
Kyra Ahrens, Hans Hergen Lehmann, Jae Hee Lee +1
We address the Continual Learning (CL) problem, wherein a model must learn a sequence of tasks from non-stationary distributions while preserving prior knowledge upon encountering…
Visually Grounded Continual Language Learning with Selective Specialization
Kyra Ahrens, Lennart Bengtson, Jae Hee Lee +1
A desirable trait of an artificial agent acting in the visual world is to continually learn a sequence of language-informed tasks while striking a balance between sufficiently spec…
The Emotional Dilemma: Influence of a Human-like Robot on Trust and Cooperation
Dennis Becker, Diana Rueda, Felix Beese +7
Increasing anthropomorphic robot behavioral design could affect trust and cooperation positively. However, studies have shown contradicting results and suggest a task-dependent rel…
Neuro-Symbolic Spatio-Temporal Reasoning
Jae Hee Lee, Michael Sioutis, Kyra Ahrens +3
Knowledge about space and time is necessary to solve problems in the physical world: An AI agent situated in the physical world and interacting with objects often needs to reason a…
Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning
Kyra Ahrens, Matthias Kerzel, Jae Hee Lee +2
Spatial reasoning poses a particular challenge for intelligent agents and is at the same time a prerequisite for their successful interaction and communication in the physical worl…
What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning
Jae Hee Lee, Matthias Kerzel, Kyra Ahrens +2
Understanding spatial relations is essential for intelligent agents to act and communicate in the physical world. Relative directions are spatial relations that describe the relati…
Explain yourself! Effects of Explanations in Human-Robot Interaction
Jakob Ambsdorf, Alina Munir, Yiyao Wei +8
Recent developments in explainable artificial intelligence promise the potential to transform human-robot interaction: Explanations of robot decisions could affect user perceptions…
DRILL: Dynamic Representations for Imbalanced Lifelong Learning
Kyra Ahrens, Fares Abawi, Stefan Wermter
Continual or lifelong learning has been a long-standing challenge in machine learning to date, especially in natural language processing (NLP). Although state-of-the-art language m…