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stat.ML2026
LLMs as Implicit Imputers: Uncertainty Should Scale with Missing Information
Stef van Buuren
Large language models (LLMs) are increasingly deployed in settings where the available context is incomplete or degraded. We argue that an LLM generating answers under incomplete c…
stat.ML2026
Predicting missing values: A good idea?
Stef van Buuren
Minimizing the Mean Squared Error (MSE) is a key objective in machine learning and is commonly used for imputing missing values. While this approach provides accurate point estimat…