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Lukas Stappen

3 accepted papers

2025

CarMem: Enhancing Long-Term Memory in LLM Voice Assistants through Category-Bounding

COLING 2025industry

In today’s assistant landscape, personalisation enhances interactions, fosters long-term relationships, and deepens engagement. However, many systems struggle with retaining user preferences, leading to repetitive user requests and disengagement. Furthermore, the unregulated and opaque extraction of…

2024

Generalized Synchronized Active Learning for Multi-Agent-Based Data Selection on Mobile Robotic Systems

RA-L 2024

In mobile robotics, perception in uncontrolled environments like autonomous driving is a central hurdle. Existing active learning frameworks can help enhance perception by efficiently selecting data samples for labeling, but they are often constrained by the necessity of full data availability in da

Cited by 6SourceScholar
2019

Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-assessed Emotion Detection in Spoken Narratives

ICASSP 2019accepted

Automatic detection of sentiment and affect in personal narratives through word usage has the potential to assist in the automated detection of change in psychotherapy. Such a tool could, for instance, provide an efficient, objective measure of the time a person has been in a positive or negative st…

Cited by 0SourceScholar