Exploring Recurrent-Depth Language Models for Multitask Clinical Text Processing
Jointly fine-tunes looped and hierarchical recurrent language models on nine clinical text datasets and tests transfer to four more. Compares direct-answer performance with standard transformers while noting that the model families also differ in pretraining.
First public: · Added to this list: October 22, 2026
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Recurrent reasoning — Repeat parts of the model or keep intermediate information in memory while working through a problem. Some methods also learn how many passes to run.
Analysis and evaluation — Measure how well these methods work, investigate what their internal computation does, and identify where they fail. This includes experiments, studies of model internals, and mathematical results.