4 papers
Enabling Personalized Long-term Interactions in LLM-based Agents through Persistent Memory and User Profiles
Rebecca Westhäußer, Wolfgang Minker, Sebatian Zepf
Large language models (LLMs) increasingly serve as the central control unit of AI agents, yet current approaches remain limited in their ability to deliver personalized interaction…
Human Authenticity and Flourishing in an AI-Driven World: Edmund's Journey and the Call for Mindfulness
Sebastian Zepf, Mark Colley
Humans have always dreamed of possessing superpowers, and the rapid development of AI-based features promises to bring these dreams (closer) to reality. However, these advancements…
CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents
Rebecca Westhäußer, Frederik Berenz, Wolfgang Minker +1
Large language models (LLMs) have advanced the field of artificial intelligence (AI) and are a powerful enabler for interactive systems. However, they still face challenges in long…
Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning
Deniz Cevher, Sebastian Zepf, Roman Klinger
The recognition of emotions by humans is a complex process which considers multiple interacting signals such as facial expressions and both prosody and semantic content of utteranc…