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All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access
Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele, Friedrich Solowjow, Sebastian Trimpe
0citations -
Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?2026 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access
Lennard C. Froma, Tom Kouwenhoven, Maaike de Boer, Catholijn M. Jonker, Max J. van Duijn
0citations -
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access
Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, +5 more
4citations -
Computational simulation of virtual patients reduces dataset bias and improves machine learning-based detection of ARDS from noisy heterogeneous ICU datasets
Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, +5 more
4citations