3 papers
cs.RO2026
Model Reconciliation through Explainability and Collaborative Recovery in Assistive Robotics
Britt Besch, Tai Mai, Jeremias Thun +4
Whenever humans and robots work together, it is essential that unexpected robot behavior can be explained to the user. Especially in applications such as shared control the user an…
cs.CL2025
Judgment of Learning: A Human Ability Beyond Generative Artificial Intelligence
Markus Huff, Elanur Ulakçı
Large language models (LLMs) increasingly mimic human cognition in various language-based tasks. However, their capacity for metacognition - particularly in predicting memory perfo…
cs.CL2024
Towards a Psychology of Machines: Large Language Models Predict Human Memory
Markus Huff, Elanur Ulakçı
Large language models (LLMs), such as ChatGPT, have shown remarkable abilities in natural language processing, opening new avenues in psychological research. This study explores wh…