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cs.LG2026
Real-Time Progress Prediction in Reasoning Language Models
Hans Peter Lyngsøe Raaschou-Jensen, Constanza Fierro, Anders Søgaard
Recent reasoning language models, particularly those that employ long latent chains of thought, achieve strong performance on complex agentic tasks. However, as these models operat…
cs.LG2025
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley, Anders Søgaard, Angela Ballantyne +1
Federated learning (FL) is a machine learning approach that allows multiple devices or institutions to collaboratively train a model without sharing their local data with a third-p…